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{"scaleup_9632387_8100163": {"query": "How to achieve a clear color response for reliable determination of phenolic content despite reagent turbidity", "pos_cid": 8100163, "field": "Agricultural and Biological Sciences", "main": {"q_side": [94174169, 20817825, 5972225, 94749663, 51728898, 95661581, 96385207, 12738604, 51805838, 34303580, 98854149, 43983913, 97425382, 96773038, 96867388, 97211429, 96369206, 34870106, 13196965, 15383123, 38679260, 19198801, 98382571, 95746053, 16451742, 12902118, 97725380, 93711464, 85888377, 94755992, 85607380, 12711007, 95361705, 41109024, 86225758, 54780765, 16628639, 97257549, 22460087, 41276848, 196712140, 101252617, 6806795, 84636696, 9727658, 85644414, 14972091, 87575135, 73580575, 255379029], "pos_side": [26130124, 27915368, 101869789, 29176479, 85067383, 206223581, 81402165, 15932001, 81921807, 84444479, 83757714, 85332675, 6963509, 28409229, 8652398, 85701009, 11318595, 8748121, 93519715, 81970792, 9025013, 12276772, 73705996, 85251267, 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"main": {"q_side": [56461184, 15754384, 203840312, 90165927, 55070795, 85125491, 51877857, 21008337, 54745550, 96019872, 52960374, 13194867, 73583734, 53285050, 8847332, 53987136, 2214055, 59360390, 36743358, 22234897, 13167276, 52115898, 15779460, 56358956, 58621460, 251685940, 18305531, 84416860, 84970080, 59455453, 88121942, 39550267, 2952125, 53875110, 1765830, 86484468, 53045619, 87188093, 13312953, 4938656, 12574202, 87265462, 19023748, 7757439, 84449590, 86731930, 18869850, 86994168, 86425440, 54778157], "pos_side": [14751468, 86784885, 52187872, 51954486, 25747235, 10389916, 5715151, 1705925, 3564843, 17151879, 15540013, 12923454, 56371788, 13526613, 85283499, 15999442, 116881044, 3300951, 3072288, 11290108, 7482549, 54959495, 20294702, 12197528, 253637373, 89243181, 120569, 84082221, 3160954, 21749082, 56314947, 55072159, 2353711, 53304992, 90405182, 4671839, 12061466, 56340733, 3684659, 17629449, 1298376, 18417637, 4640976, 15252143, 94870, 8453975, 2170152, 4065374, 34310058, 42657316], "other": [622085, 927756, 1000399, 5623055, 5705644, 9871193, 9878768, 18660480, 333589, 56092606, 88954996, 85311927, 1683208, 86895770, 84146505, 55674927, 56172546, 8653326, 90191512, 85157128, 27657123, 54644063, 59453824, 399712, 88865849, 52117109, 12353966, 98386392, 89322555, 20444962, 92649912, 91450227, 628404, 255962418, 1755593, 85928510, 86210890, 84574877, 83970503, 84660124, 89871174, 86153042, 16293101, 84512904, 100066, 85083114, 15185883, 84114968, 5126359, 55675273]}}, "scaleup_67750566_10906134": {"query": "How to increase tumor accumulation despite immune clearance and macrophage uptake", "pos_cid": 10906134, "field": "Agricultural and Biological Sciences", "main": {"q_side": [27435321, 254370559, 30371430, 58553550, 2621847, 16247587, 21699904, 4388985, 37252078, 196647338, 4090139, 9008313, 80657475, 15560231, 52814857, 2648499, 8564339, 2471345, 215514562, 52816904, 13709657, 15527931, 22377824, 9373791, 10392038, 7430046, 3643840, 13775528, 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8356445, 306983, 15044010, 8783843, 13592105, 14933304, 18009515, 4485816, 3904970, 8504223, 12331992, 2354821, 13197196, 36176970, 9688232, 149388, 842802, 11057819, 2825434, 16206150, 10746603, 7919339, 3964477, 12922910, 1268115, 14736227, 6491712, 14829244, 6055311, 16584309, 6170323, 17157174, 16442956, 2181138, 16017523, 689287, 6867419, 14557820, 6915214, 16071460, 1799124, 7662393, 2716526, 6611428, 6179219, 13969124, 17414816, 3447963], "other": [958660, 6768643, 7835160, 13123189, 24622603, 32770503, 54550949, 84586278, 57698283, 24440569, 37442665, 34098701, 289313, 18206861, 21243027, 7316237, 16455219, 7157117, 8620417, 15927414, 17572115, 3918860, 14287993, 5462492, 11140101, 9785015, 120430683, 11786658, 13969213, 8645258, 20563776, 9882350, 260628821, 207406191, 13597845, 25923558, 263886722, 6074151, 60849519, 67846184, 8293964, 204949842, 26114424, 9578756, 43771893, 6118437, 23102018, 12785934, 41572114, 9280949]}}, "scaleup_20271129_51727195": {"query": "How to identify which secondary metabolites in Buddleia indica leaves interact most favorably with TNF-\u03b1 and may explain the extract\u2019s hepatoprotective activity", "pos_cid": 51727195, "field": "Agricultural and Biological Sciences", "main": {"q_side": [10054803, 55851430, 141441, 90613658, 91030086, 7525612, 52089576, 9117984, 84331484, 8797680, 58536699, 4045080, 85368351, 89516651, 14228042, 11344264, 7654118, 1147199, 9958246, 13973682, 12646543, 15969891, 24589355, 88135874, 11976572, 15493106, 28620491, 42327223, 6556786, 2877223, 44245885, 17961015, 51621966, 13718522, 26132342, 264276, 53964130, 3483575, 90307165, 43558576, 29177413, 11234964, 83277119, 86300175, 5206987, 83383853, 14501457, 4183942, 5197378, 717006], "pos_side": [18581226, 533913, 85921864, 26390395, 24693099, 24627123, 27727034, 18442936, 18069502, 206981716, 13751190, 80108588, 255866130, 10749611, 54707364, 21700257, 32761923, 7077150, 7772336, 31137769, 4640229, 37310766, 9239595, 15328544, 86008102, 49657881, 759096, 2253825, 49304891, 8031215, 51715479, 53784108, 53427006, 21692197, 5754612, 12357647, 7528079, 13236264, 12407550, 27893743, 20481240, 24334056, 3762920, 23321601, 8083655, 38842620, 18845488, 84892555, 85980593, 33806898], "other": [7788110, 11857505, 82720979, 55089329, 4706869, 49332868, 9675733, 90343391, 260474645, 3084632, 98123, 72094, 90160193, 16385944, 55407819, 39059451, 3568467, 73682725, 104092130, 79409793, 74351432, 21733507, 55353109, 15869369, 59127450, 53590408, 13516836, 90652075, 99695398, 249767546, 873405, 33751352, 17272621, 10666702, 133383684, 9917647, 58554148, 42688179, 16782733, 46966030, 48360864, 21588013, 41983751, 37689312, 12329100, 51958420, 29537655, 119086753, 737944, 42500469]}}, "scaleup_582163_14008061": {"query": "How to explain the higher fraction of root water uptake from dry sand compartments and determine whether local dryness alone accounts for it or moisture conditions elsewhere in the root zone also matter", "pos_cid": 14008061, "field": "Agricultural and Biological Sciences", "main": {"q_side": [16635752, 38958260, 83648127, 97716933, 5734830, 9430173, 83838764, 251431772, 254945806, 28407434, 96848145, 25527567, 1232285, 73704494, 97430501, 56428554, 96855596, 6656428, 11018537, 85590131, 12057235, 8592178, 4085534, 17186160, 88789118, 6973318, 255946609, 97748675, 16552622, 4819124, 86171588, 96909101, 84413572, 154346086, 88540428, 85625178, 96694958, 86137962, 129519546, 53572345, 39724880, 85982336, 83479623, 85986321, 85106927, 98216508, 8585526, 126980996, 86728939, 83859708], "pos_side": [97558841, 128992948, 29446338, 36213639, 90827567, 128675454, 28330304, 86412508, 22299684, 128475562, 85144633, 6117589, 54542763, 135646657, 84165450, 89312187, 86789130, 17487172, 84259618, 54940726, 30329, 39891332, 93661573, 40512945, 203082650, 18731401, 85919967, 22857396, 85102312, 82326463, 83968369, 88216479, 84542437, 54591589, 89548266, 33442459, 55691754, 54588921, 30011806, 84387516, 21745915, 95229238, 55982541, 94617165, 56134280, 129187253, 5049556, 129191878, 94018589, 10694215], "other": [86262304, 4825295, 54079313, 51829478, 37032881, 4983193, 18430708, 86690966, 108520907, 88026848, 84971884, 88433116, 95003807, 131302647, 39386559, 128881669, 153350757, 97918046, 22129962, 98417111, 56354150, 55932176, 94716165, 88880431, 98589104, 9411238, 30692689, 55947782, 85101963, 31440169, 89305750, 101711628, 55343705, 94284094, 59568591, 86889304, 86258628, 93636458, 128862279, 2610557, 98176640, 128766425, 85989840, 87225845, 198254992, 145948808, 85706429, 16582318, 56260168, 195435832]}}, "scaleup_67750566_18839988": {"query": "How to control the ratio of modified to unmodified proteins in engineered nanoparticles", "pos_cid": 18839988, "field": "Agricultural and Biological Sciences", "main": {"q_side": [41657652, 205278153, 13568703, 51715493, 152554, 1430864, 179111, 205797030, 56478684, 56426596, 20093575, 51887490, 207575437, 135554592, 255859902, 7936896, 16597122, 1352769, 195514, 53169429, 207356169, 256636755, 13905226, 36341174, 6439520, 46943281, 229298867, 46263328, 11741189, 18649070, 53951905, 24984148, 3447820, 5404270, 256619449, 40939890, 19882294, 3293425, 42811148, 5055266, 17667206, 53359512, 4868582, 44101219, 31178303, 34383719, 205920551, 20099896, 7874766, 21230869], "pos_side": [9079110, 206711883, 5932493, 98748585, 206081670, 55915895, 679089, 17212173, 20623308, 169462277, 25570663, 29333286, 46923705, 3942439, 137023304, 21905449, 12004979, 52934588, 137704608, 6295364, 3324852, 106381545, 25148420, 14956255, 47006241, 10009716, 5348438, 16543181, 13885065, 199627912, 207707581, 33168505, 9394730, 507955, 34104462, 26072894, 103496333, 25774656, 1213904, 103885466, 19307281, 23892969, 137276218, 206056187, 53762400, 53241829, 79745202, 3537887, 7905664, 4408647], "other": [7054574, 11812426, 11854566, 15631138, 18992987, 20338578, 21861462, 40960199, 45214937, 45679811, 46927705, 46965179, 51607529, 51609291, 52961074, 53086645, 136670090, 205807071, 9858481, 22753263, 206720598, 43925497, 7883128, 17549939, 19923480, 206492067, 46305029, 206431728, 32054599, 8051008, 106201035, 95356199, 3871523, 73648242, 327224, 3021423, 98788524, 16024780, 205614304, 262692913, 253717582, 54018013, 19238041, 24371002, 1531205, 13410966, 54477764, 6609221, 93987957, 44153211]}}, "scaleup_9147286_10324129": {"query": "How to determine whether NSm in the pellet fraction truly associates with membranes or is merely trapped within the lumen of closed microsomes", "pos_cid": 10324129, "field": "Agricultural and Biological Sciences", "main": {"q_side": [10361406, 54487783, 16648436, 17066142, 12455830, 31324701, 25155529, 2327579, 8405483, 15199115, 11522389, 34602874, 23337361, 3076241, 22845961, 19170611, 2222031, 30707496, 5826317, 16909866, 1719049, 16497316, 15268500, 45712392, 15013759, 13593710, 14514904, 1646341, 42773380, 289139468, 14884238, 2369766, 88852911, 24456699, 9064677, 45273287, 36560951, 261156, 44882691, 17988130, 10312080, 2659064, 6355051, 83895868, 25490679, 95540, 16272671, 13325656, 23315998, 2646324], "pos_side": [8551342, 6198782, 17495684, 14797814, 2736992, 54568526, 10747884, 15914739, 908468, 26726053, 39221858, 20130662, 23321380, 18546987, 21923947, 12238221, 9059622, 34818456, 2394390, 7988284, 21813697, 27583621, 2175368, 225791, 9125700, 1910032, 13034535, 22634743, 32178307, 11347586, 51133105, 7974204, 20475873, 54490063, 21203818, 1014868, 22762602, 19061763, 43459327, 1071877, 10579957, 17650094, 43210599, 9899250, 8902702, 33578832, 9848999, 15155064, 6230106, 31154066], "other": [5803739, 19737745, 31140039, 2279088, 11787364, 6651015, 23169433, 313182, 44302433, 10197451, 86179594, 1340781, 14427015, 13102291, 22065076, 13579973, 34632654, 9403728, 34589532, 7514260, 7640616, 2760586, 54566443, 29549371, 35107066, 10986905, 12841059, 31966096, 25246975, 1599091, 25462087, 32762074, 22523214, 15505159, 100622252, 6701683, 13023481, 2276855, 2933476, 11969433, 22972502, 28663133, 15657664, 11607483, 10396768, 2206259, 16454820, 16960859, 20681054, 6938956]}}, "scaleup_19896791_10716717": {"query": "How to reliably detect and segment individual grape clusters of varying sizes and shapes across different scales in field images", "pos_cid": 10716717, "field": "Agricultural and Biological Sciences", "main": {"q_side": [9028847, 5809867, 13105213, 19224414, 55548536, 58012540, 16055590, 30160169, 59289929, 56177384, 4925550, 54879782, 4618547, 60442978, 255963194, 13062976, 5362765, 254934760, 14080461, 15800328, 86084213, 59405437, 10995256, 50773519, 15459962, 11041291, 6186243, 254932821, 52047153, 13314043, 46928419, 57756137, 19179352, 28716758, 116811618, 55056447, 5213724, 27644565, 110423175, 34362529, 12017552, 7139007, 131807485, 9780629, 22935717, 104386535, 43464483, 3773590, 53060358, 94468829], "pos_side": [393948, 3346458, 206775640, 32378562, 54210885, 15836178, 2953489, 33571879, 255104278, 52278885, 46917901, 3037480, 14555148, 6724556, 1309931, 5909165, 16848933, 1089955, 15923559, 20496438, 6542300, 4985208, 15820482, 5812258, 18757093, 16274552, 51881271, 2288592, 17377323, 2930547, 29404249, 55907460, 5083584, 53739583, 9560434, 15421886, 53786732, 4889694, 3805162, 1741179, 997899, 114499822, 40172901, 49349927, 238695291, 15331000, 8737997, 15273663, 58013555, 2275683], "other": [59337554, 17148428, 86370034, 107116436, 53324471, 53063281, 93618550, 1328118, 103554073, 3327556, 14254363, 101862359, 1190518, 28818442, 13288368, 81372923, 254939056, 51875589, 13832581, 73443015, 73682679, 55833955, 112647994, 56096202, 99892195, 52050000, 54801437, 21755516, 99618086, 53742696, 26398901, 17123512, 55679028, 94015150, 102167381, 94481960, 3667069, 52833713, 84318613, 15646991, 18602238, 86566224, 93519185, 95696268, 55761286, 94088190, 506338, 19528426, 21694032, 133661046]}}, "scaleup_51710297_53539074": {"query": "How to establish reliable age\u2013depth chronologies for fossil records despite potential outliers in radiocarbon ages", "pos_cid": 53539074, "field": "Arts and Humanities", "main": {"q_side": [128581190, 54646461, 9225335, 131067274, 140610972, 84050010, 55844840, 3066251, 28491029, 197996011, 515077, 6604108, 56267203, 86084780, 52427438, 59381734, 135378814, 4132088, 162445825, 204264663, 132991572, 83713424, 891352, 162353211, 6736865, 22866654, 23194011, 254946878, 130935180, 204010161, 9601452, 1078084, 53554487, 14201359, 59153747, 85461781, 3769733, 135384131, 55704877, 84870136, 7200375, 134250975, 23917508, 116226, 59271263, 208246835, 154359398, 592092, 3769690, 35687591], "pos_side": [17626304, 21717378, 618149, 128763053, 54874837, 16829091, 13891174, 6995614, 129096329, 256467, 129895717, 140137491, 129321681, 24055207, 161936098, 54527524, 135331488, 129389995, 129741670, 1054569, 126962411, 56284771, 15890296, 128777352, 129296499, 10885362, 129103614, 129142022, 32583870, 13917536, 5698617, 10628094, 229900217, 55209126, 84909393, 128933073, 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155720847, 33202422, 143450845, 17440759, 60090386, 144029486, 255892344, 144113277, 22120813, 143700255, 12264596, 151590227, 4653697, 55868163, 142232478, 205429712, 16139584, 145787210, 207554283, 2717364, 55287183, 261196256, 145728327, 8975403, 153243810, 145006362, 4635619, 145619087, 144444237, 16426619, 7400776, 246489277, 2202569, 1440341, 142895489, 157718222, 143528090, 61322659, 141835338, 32601064, 143804250, 71811245, 11425518, 53321509, 29611640, 144304200, 42347614, 143081649], "pos_side": [205108965, 45876591, 13983632, 23765617, 45301143, 74058810, 7797965, 28503655, 15791553, 991623, 36670065, 6077179, 15667206, 24379931, 37734099, 245183407, 44636883, 24778959, 39475335, 327385, 43810867, 260783972, 5856213, 62637721, 245086204, 270986183, 27759891, 26130806, 43172720, 25223051, 41411290, 40312978, 196377436, 42363982, 40849940, 7163957, 39697012, 22840091, 2117869, 14857898, 211170707, 14052865, 285774869, 38851030, 10152318, 23766057, 70943764, 21079204, 20307461, 72000731], "other": [18696147, 31091329, 246489241, 246491247, 17562686, 245113812, 145203383, 53585615, 143883589, 1765403, 204988182, 3720274, 17023412, 141678646, 251477493, 27167804, 14430523, 28041019, 245029650, 246490936, 5981230, 245066580, 147689226, 143148547, 33529040, 251487648, 254471252, 10487121, 264419438, 6535018, 45467026, 285471862, 145649874, 6838191, 23970691, 282654125, 32229845, 5466693, 24436530, 13916460, 246491207, 63326748, 4810452, 245209674, 25286410, 2831351, 12399737, 614803, 206975935, 220088306]}}, "scaleup_15031500_18036764": {"query": "How to account for the equal ontological standing and dynamic relations of what is present, absent, or incomplete in intentionality, information, and ethics despite the limitations of binary logic", "pos_cid": 18036764, "field": "Arts and Humanities", "main": {"q_side": [147464556, 170423794, 123274943, 118131281, 38667474, 10573049, 148000148, 1315638, 142945021, 64209925, 54738344, 150686121, 254474513, 254508523, 142921210, 124842203, 254464389, 55356688, 123267852, 146686681, 170907813, 13188634, 17801773, 170459704, 171005366, 171957412, 174288, 171053557, 41955088, 34520845, 55633216, 25087722, 170183780, 220426647, 390614, 170150355, 255075821, 34542480, 11180644, 73649913, 90387926, 148624919, 254461563, 54630063, 141888950, 170402929, 46978326, 254937119, 14654292, 16531305], "pos_side": [56419995, 647523, 34645103, 60913562, 33994084, 37492, 147672017, 18672565, 7330903, 7857368, 8007129, 55667764, 142452807, 2605129, 1323594, 3744443, 459056, 15930678, 2565383, 8069784, 5280116, 22003248, 13798965, 254793241, 11458028, 118203317, 447009, 13442411, 400996, 119533958, 170917835, 5427139, 146569758, 118509892, 9031576, 125576348, 39851332, 9826547, 20391464, 254751764, 5169640, 171009236, 56081652, 170216836, 118502116, 119073317, 15913928, 11776137, 118333783, 16103077], "other": [28302944, 147716956, 147362287, 171691640, 374623, 146464036, 61837187, 3947127, 12065611, 9681304, 12963348, 955733, 6303050, 170690923, 170522385, 171466470, 33640300, 63971670, 251076339, 169800874, 118541937, 254840465, 2506497, 663410, 15374736, 255068517, 18772537, 34631305, 53788211, 7484546, 56154759, 5055085, 15139814, 18815474, 123186621, 874921, 17595005, 15389480, 541160, 17850180, 269173541, 73486361, 171458840, 170535562, 7815254, 170910363, 125876795, 170120553, 92993584, 145747685]}}, "scaleup_24435125_6190287": {"query": "How to determine whether vocabulary in scientific texts intended for lay readers is sufficiently familiar to support understanding", "pos_cid": 6190287, "field": "Arts and Humanities", "main": {"q_side": [140459715, 32741295, 56126626, 86296472, 148779367, 141695583, 55791256, 143790728, 56346651, 251476765, 140383401, 144673022, 12603455, 147979757, 145674618, 146793309, 56324877, 2315035, 145415691, 161544986, 61693861, 24764441, 245198135, 152965987, 145537847, 144102500, 8205266, 143868918, 144260129, 7017838, 246476688, 72815160, 140372983, 53656307, 144526361, 53346451, 142497353, 144254953, 12587332, 148493343, 28729135, 145568389, 62059809, 144747764, 27195143, 373346, 56130157, 267183515, 60239138, 67854339], "pos_side": [227226127, 17830295, 246476101, 38682978, 54073214, 32319993, 267968617, 35574878, 16565676, 281175062, 52886266, 536951, 1103369, 144594079, 53387545, 1924709, 14694931, 141460201, 144994859, 59455399, 17153466, 141753532, 145559869, 248421940, 40977066, 142853475, 268307005, 59370157, 15709044, 145803088, 54509367, 147016768, 63812384, 3008434, 339969, 54807814, 488768, 616203, 260697503, 15027956, 18309234, 140837904, 145165224, 238996953, 5826797, 54859475, 11189786, 26140732, 145126231, 15917608], "other": [15708802, 268329154, 16815187, 12801817, 210551756, 150889188, 71436934, 60983459, 242011118, 30597448, 24297269, 232395839, 17283262, 29463216, 5908964, 151251401, 20520273, 246491296, 55634562, 10047283, 251482805, 1334071, 1121664, 34128792, 16218862, 142258908, 2625300, 12546992, 1373798, 2981376, 68427839, 1039218, 142675502, 147972664, 60124045, 145291173, 63644081, 128336473, 3123526, 44924962, 6248193, 260440566, 262718677, 246491253, 20695016, 147231974, 46332508, 149992865, 11504584, 7732860]}}, "scaleup_2286619_46450348": {"query": "How to distinguish normal social behavior from mental disorder across differing cultural norms and determine whether culture-specific conditions such as taijin kyofusho are distinct disorders or expressions of disorders recognized in western settings", "pos_cid": 46450348, "field": "Arts and Humanities", "main": {"q_side": [70364110, 30116214, 107153, 5021699, 23608597, 7618658, 35285444, 142250522, 145739644, 591662, 3003744, 182513329, 20216377, 14163430, 207448047, 35050662, 8828246, 2031345, 24777371, 14581794, 142354678, 220223424, 144117772, 260427421, 19654495, 22489764, 454814, 16148169, 198783239, 14911912, 1009723, 17732269, 263417003, 13162571, 7193566, 7109123, 33057247, 23983254, 285721905, 19799782, 72907328, 5721729, 21440931, 10213275, 24981780, 43618731, 38120231, 144431351, 63887523, 283594305], "pos_side": [5389658, 34833711, 264700180, 25102404, 12999096, 34805918, 141906123, 27154625, 144462476, 144061506, 32254468, 17383145, 139169, 29035250, 19361900, 143920217, 22259743, 23461710, 17362231, 17686897, 16719819, 6252766, 39994175, 10686306, 34282386, 144624472, 32256269, 146924220, 80306906, 6065029, 25912764, 18497078, 145102017, 15501803, 26146464, 1065026, 144392262, 31358991, 13914472, 79882719, 17757485, 6678140, 11698887, 8061389, 2470947, 145568353, 141282722, 634763, 147250475, 27440410], "other": [38155350, 11097593, 5955712, 36488831, 9233633, 37581377, 56403861, 207448004, 4691402, 148118503, 143818727, 34995967, 71841182, 42649441, 33351390, 20489221, 45269964, 12901603, 17064097, 21622042, 109228890, 16653863, 5391811, 148509635, 221175533, 145226571, 11341671, 260956582, 18063837, 43138072, 28150535, 80272503, 145545354, 145723360, 203716260, 21607458, 285471862, 27384560, 11037890, 144134433, 144765172, 9139888, 146589342, 288046610, 19481010, 8567643, 147201804, 150229758, 269513996, 1739576]}}, "scaleup_22693577_34754739": {"query": "How to measure catalytic activity while tracking product formation and accounting for possible side products", "pos_cid": 34754739, "field": "Biochemistry, Genetics and Molecular Biology", "main": {"q_side": [11617220, 20628931, 10901319, 206489998, 207045930, 39259089, 40065482, 84328724, 20518498, 45030823, 7434115, 6711586, 5638463, 14911878, 26025328, 24412105, 21233117, 21823179, 38311545, 45414182, 9713623, 34069402, 25255198, 207131657, 6817144, 6958300, 219238304, 31457919, 21448295, 19920798, 95756193, 85882973, 8984886, 26002049, 6725533, 30023829, 13586354, 2455616, 11375121, 25301571, 8150085, 11285866, 32229118, 24638503, 1518651, 1622479, 27632340, 24195889, 8256513, 8045909], "pos_side": [22195083, 24078731, 45185124, 5151470, 19593206, 94516670, 24396777, 29486271, 34857126, 25051949, 37753268, 22060730, 9296160, 100259831, 30122747, 33332287, 10860634, 20288475, 24790723, 38849000, 87985872, 28327405, 6390939, 39610093, 13578611, 33191019, 21323138, 83507466, 37637948, 13450552, 6646064, 46265424, 20922661, 10446119, 42106811, 22328884, 12594457, 19521783, 23461679, 32326565, 37989701, 44742086, 262284626, 24863128, 30947281, 20797807, 36932569, 36684301, 25736338, 10963703], "other": [32914752, 197162246, 98408947, 2590421, 19471372, 28941764, 36048448, 2407840, 5507805, 2495405, 94715160, 17727435, 4365800, 97325691, 12389351, 23089777, 29387039, 195819411, 263267970, 32901136, 36190827, 8167167, 14876185, 22557969, 41111284, 96992644, 1290556, 95527795, 98510122, 41057208, 41995952, 7472506, 28104335, 82562711, 85373329, 961702, 88387199, 2068346, 100247917, 98094961, 11891902, 55587379, 13435214, 96646225, 23371906, 82784110, 6512834, 23884428, 1146536, 93646157]}}, "scaleup_11065387_23177457": {"query": "How to determine whether markers associated with yellow rind identify the locus responsible for rind color", "pos_cid": 23177457, "field": "Biochemistry, Genetics and Molecular Biology", "main": {"q_side": [219578323, 18962289, 18575985, 55682878, 15995627, 14026478, 56469160, 17930690, 6998124, 54069751, 15652362, 86758003, 8453975, 85362737, 12083256, 85406879, 7726823, 5357255, 16544687, 15785660, 29536979, 86298046, 1754254, 86775931, 8319595, 18555035, 36295173, 719451, 4305075, 255807231, 252423041, 10565014, 54686517, 207565307, 86126301, 6089688, 45558323, 22209957, 3763746, 20682104, 22367478, 84189325, 85656052, 85761050, 8264613, 84297233, 84327177, 53412261, 34823704, 255980119], "pos_side": [3056234, 22038774, 12677950, 3023438, 84759910, 87337005, 90354062, 88650321, 87573736, 13193886, 86193721, 86217626, 84084876, 55673859, 86703812, 14635648, 22635575, 85578877, 89563097, 84090400, 88823879, 89556946, 4499147, 21686242, 252430245, 86572031, 85850295, 15937298, 89622818, 36455149, 17940761, 84077557, 17455851, 52369414, 86466501, 16975214, 87028381, 15080448, 8293992, 27503111, 2983723, 87075743, 13948487, 98641681, 21548405, 818261, 83990325, 25776166, 51832019, 20019913], "other": [9669261, 15789065, 37992285, 220688858, 88716744, 18145244, 89972630, 5324416, 53957228, 84145011, 83892935, 10764200, 10536868, 10165532, 45627967, 16004264, 53496460, 2557311, 75829976, 9052637, 86265827, 2962152, 89595738, 34828967, 13489854, 84417460, 83584759, 86682147, 33252722, 16063384, 17893091, 15462692, 3418205, 3579659, 46365530, 4046352, 28992011, 18001027, 219205996, 55158273, 40575334, 53311198, 4048950, 89100758, 16302344, 44084120, 32104840, 29949000, 84750676, 85732637]}}, "scaleup_83458994_17781757": {"query": "How to distinguish the effects of individual proteins in nk cell-derived extracellular vesicles on cancer cells", "pos_cid": 17781757, "field": "Biochemistry, Genetics and Molecular Biology", "main": {"q_side": [49558753, 18226619, 51906279, 3751295, 13906751, 44073628, 51954619, 25033401, 20739562, 9377870, 2553846, 255854342, 58582923, 2951361, 25669957, 19008303, 16771820, 15873071, 206109023, 4387955, 20780629, 255834286, 13775031, 43933999, 8811513, 46977767, 205859556, 54622284, 14020640, 14468911, 3496660, 19228703, 6351735, 10865437, 8358412, 15808774, 206527057, 4008783, 14692646, 45194732, 54567882, 56173707, 17683177, 9254143, 865422, 7906649, 261514896, 12429812, 7003650, 4899799], "pos_side": [33993182, 21526672, 53567401, 23671822, 1322741, 2967110, 37111980, 4151197, 26638478, 5029290, 16253838, 6188959, 14386092, 83510432, 92252, 11329831, 31666646, 42794270, 255986844, 11318182, 51706380, 26155845, 40598440, 4911006, 11842955, 6677554, 255861856, 28323201, 17043415, 12256057, 51707741, 1826494, 890706, 15832340, 5864407, 2761180, 7762621, 31323516, 3415474, 606209, 18271054, 33916951, 2898670, 25181672, 16861175, 25302045, 15540026, 18455320, 33134480, 14829273], "other": [2307547, 44300040, 15877323, 9833972, 2316853, 8900040, 20156309, 58612370, 722327, 258666697, 16384882, 3307183, 221645716, 19077807, 3509986, 17357089, 3899441, 52312418, 32003467, 46946639, 10393765, 4579804, 11660002, 14277721, 249785864, 14620502, 3676942, 6972061, 4716845, 37543096, 18859742, 53562867, 92605660, 81774732, 27165754, 9885617, 18429390, 22932060, 11076574, 13768398, 5064127, 13958123, 4634322, 16428415, 28439132, 11713613, 7672633, 4016134, 6380501, 8999577]}}, "scaleup_13172729_5891514": {"query": "How to identify the molecular mediators of apoptosis in small cell carcinoma of the ovary, hypercalcemic type", "pos_cid": 5891514, "field": "Biochemistry, Genetics and Molecular Biology", "main": {"q_side": [14290929, 24632016, 54578036, 18971652, 10418864, 20405628, 8364698, 44301859, 6868610, 44960768, 28017876, 22961861, 7036707, 17045348, 255851596, 18745047, 28636086, 18687199, 3219709, 25267967, 3094362, 38784810, 1279257, 35341235, 16310597, 14399784, 7185636, 31423944, 33263185, 134017, 32852250, 3815277, 24231872, 37590277, 11626651, 17759549, 8433937, 36144473, 28627139, 5896405, 15765935, 18971868, 14798802, 2885650, 17438651, 5657508, 32819312, 13996167, 15352776, 25179016], "pos_side": [1941979, 29293280, 29479433, 3377879, 45731793, 16919584, 10542174, 8188597, 40244214, 255857624, 3541038, 15278280, 54483168, 25465264, 13248107, 42984670, 9232792, 11208906, 8006478, 10142176, 7038223, 16874904, 2098797, 7154676, 15434747, 4394614, 9920659, 833505, 5088530, 205800665, 13706980, 35764956, 25485056, 7088440, 249768248, 25273043, 7290458, 120342, 38787324, 11455194, 18707195, 9810352, 15849405, 46673526, 17862695, 6095184, 10310793, 28830016, 11270294, 12372948], "other": [9027197, 36952632, 29288371, 9301451, 9999057, 12718403, 41086728, 7621025, 26161756, 94332, 6793400, 9665260, 206307444, 15738873, 6864847, 24144069, 14497718, 26276433, 36185314, 15821587, 14466150, 11338372, 290390269, 1145930, 12843523, 616836, 39693739, 13713413, 219582971, 2041007, 219580314, 3966092, 8289056, 9767081, 26068441, 14874969, 23612642, 15924448, 14234455, 14868398, 41796883, 262657658, 11543552, 17631525, 41292047, 9514957, 219579825, 2239583, 6632539, 593705]}}, "scaleup_4405098_4390344": {"query": "How to clarify how ptpn11 mutations in the bone marrow microenvironment disrupt cell dormancy and niche retention, worsen myeloproliferative disease, or promote disease in wild-type cells", "pos_cid": 4390344, "field": "Biochemistry, Genetics and Molecular Biology", "main": {"q_side": [7115858, 33432555, 17582424, 4396328, 42233731, 7564022, 12526975, 15995025, 8308929, 12989859, 205242518, 14245345, 6597883, 17139169, 1331302, 7074795, 14834436, 19290105, 18952652, 37296871, 6605699, 20541029, 29379704, 7060694, 16904029, 45083497, 7436602, 23334141, 14040271, 3775273, 15410319, 19020613, 10575178, 20269855, 11467352, 16524827, 12550903, 14358544, 13095105, 17235331, 15355024, 26060979, 6709203, 13609965, 8387933, 651509, 25407734, 22406723, 35181823, 1010192], "pos_side": [28949371, 6964484, 25364240, 23962608, 28707091, 33430565, 205389573, 16510571, 23383407, 26676489, 261198979, 21771023, 5415832, 16377282, 22168424, 16211418, 6266146, 16728307, 5927027, 15157010, 41223524, 11406835, 18122629, 263920935, 41466793, 25815474, 18396258, 46730913, 1418443, 22928896, 13377599, 1999019, 36979778, 5260529, 39657863, 2261093, 25675426, 34825580, 13994501, 255857803, 6273230, 24442240, 21900160, 206023377, 13551216, 7190473, 205729943, 24958571, 16321745, 448252], "other": [10341289, 23042121, 15387527, 17980302, 571780, 33300937, 20858101, 5771889, 3626678, 206899945, 25875414, 13992183, 26448587, 2451659, 12669208, 19367539, 13590886, 932976, 2441376, 24884599, 12442889, 386629, 20700270, 28406310, 8883293, 8221889, 205963734, 22813945, 17393515, 14913042, 25107413, 6039172, 17466880, 276854161, 39343723, 13393385, 17735760, 37906899, 11269930, 31641150, 9755698, 221603956, 9185183, 23717199, 8087105, 14757862, 15629935, 14345969, 11210906, 36272857]}}, "scaleup_20109447_13278838": {"query": "How to clarify the link between Rab23 signaling and cancer and whether primary cilia signaling contributes to this link", "pos_cid": 13278838, "field": "Biochemistry, Genetics and Molecular Biology", "main": {"q_side": [23430180, 39436590, 6775754, 21300127, 17185739, 32213354, 4542117, 9700284, 15324502, 14100352, 3491598, 6168397, 33869189, 26693324, 21162080, 9751846, 9465574, 4882927, 14282047, 23754027, 24139121, 11653741, 51931044, 205841065, 263785219, 7608483, 52276652, 215780173, 205336730, 9641075, 13578568, 52119959, 558894, 17404254, 3013312, 16821010, 83971755, 38162417, 22909444, 2921179, 25530039, 16601608, 12902042, 5992072, 8820355, 43939353, 207562, 905579, 52186644, 37546650], "pos_side": [8375101, 10785610, 17861518, 20326478, 4577621, 10562708, 5261314, 5081120, 3281078, 1917068, 15902037, 17773608, 18372145, 1222531, 15293474, 4632014, 16102467, 12940746, 11150395, 6482873, 11705009, 3580132, 290394258, 9776792, 3735949, 4996670, 20841847, 9251956, 4583595, 88506956, 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local molecular environment around methyl groups when vitrification creates diverse local environments that prevent experimental observation of quantum tunneling", "pos_cid": 94072790, "field": "Chemical Engineering", "main": {"q_side": [55488916, 20665579, 1421446, 96299862, 118540668, 229718251, 35048696, 6064540, 95053847, 94705111, 99841315, 46649167, 98407182, 100562628, 35258277, 2777620, 10709781, 12524378, 3699490, 21491403, 92984190, 99285753, 93055044, 91402808, 45761624, 100981103, 10780451, 21712155, 12306447, 12267070, 46450615, 103440185, 12497390, 23396957, 1074125, 97100558, 17158503, 371584, 94957255, 125793857, 855040, 93748632, 16571944, 53865316, 135675189, 17160541, 15007100, 25492784, 373973, 3530548], "pos_side": [11724790, 35280447, 11965699, 124111795, 18388087, 24684041, 206036507, 16870564, 12391673, 268720381, 95527795, 101488040, 22341122, 196869557, 93039764, 40651527, 5757207, 15703458, 102655944, 55722053, 16337572, 96127757, 15987967, 16461616, 3574528, 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4347333, 18638456, 40867115, 212419886, 54515204, 36065254, 93219936, 2730448, 215779030, 7276098, 290388061, 4960099, 86409361, 23112609, 5127636, 15921426, 27171180, 8580190, 15698346, 1558489, 10213112, 217186117, 14713416, 30728592, 216655036, 5765782, 20921648, 33768146, 11356579, 18248315, 39516928, 603950]}}, "scaleup_22168761_1595420": {"query": "How to identify PP1-related pyrazolopyrimidine derivatives that suppress breast cancer cell growth without indiscriminate kinase inhibition", "pos_cid": 1595420, "field": "Chemistry", "main": {"q_side": [12625153, 86066574, 1431691, 43884299, 22786834, 11807544, 2796139, 31446779, 1230614, 11034817, 33947846, 12316579, 2892155, 33857778, 206248489, 96988378, 18589445, 44398108, 5052945, 7073656, 8802049, 93240722, 20040099, 262521373, 29433889, 1812619, 38160140, 4797953, 32839824, 84460982, 41398741, 15076660, 207227609, 55087316, 8743304, 22325376, 1596825, 97064122, 869893, 34382132, 84209590, 9525723, 206253504, 28267054, 8537189, 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12880011, 8715823, 13013221, 32348275]}}, "scaleup_11196186_45595055": {"query": "How to identify the lowest-energy geometries of multimetallic clusters with highly flexible atomic coordination to understand cluster formation intermediates and pathways", "pos_cid": 45595055, "field": "Chemistry", "main": {"q_side": [96977350, 20106949, 1041975, 96091928, 5897214, 96281343, 197350089, 98547826, 94590015, 27583211, 94537018, 205909271, 14565956, 28293615, 97665863, 33522573, 1983904, 40804514, 22941970, 98419354, 27934391, 119219722, 5088106, 94131893, 11011943, 26760628, 9567155, 28888347, 95450388, 197091397, 45678892, 96640206, 94165268, 207102195, 98322865, 96205777, 1842218, 98735611, 34027228, 27635910, 265127425, 95965067, 28033517, 96346403, 94240404, 29456979, 94995447, 95237746, 25555631, 96578110], "pos_side": [16851932, 799561, 8990072, 4506569, 91379099, 94256024, 72064, 19310784, 119340227, 39304726, 16892010, 27477275, 36965706, 19698381, 30323941, 27875253, 118433553, 95206839, 31429763, 15397273, 21410406, 96943647, 5524444, 7675476, 2861938, 36279204, 3533664, 5298104, 6005230, 20963327, 117050814, 119498840, 44136093, 30202393, 5394302, 23187849, 119309133, 32559336, 5317303, 11293531, 13831037, 13537785, 36017877, 95559822, 8604454, 207059402, 95955342, 23462056, 9361576, 94358316], "other": [55024432, 9466161, 27207833, 205818799, 138007718, 119269592, 56128406, 95403120, 5163581, 28515566, 14973700, 101993052, 11699501, 94294137, 34522021, 220753626, 15419106, 95338664, 92345104, 14325534, 1194439, 96916237, 97495212, 61333980, 98456219, 118710704, 53392648, 123073569, 16931491, 8395176, 512068, 36153278, 20937328, 93967619, 67761115, 136313638, 18076329, 6080610, 3236219, 5196702, 29802578, 119296189, 118640779, 17231635, 119221383, 54959115, 98296830, 7467300, 14042806, 120227007]}}, "scaleup_11359902_95474407": {"query": "How to explain an unexpected rearrangement leading to 2-dialkylaminopyridines with no known precedent", "pos_cid": 95474407, "field": "Chemistry", "main": {"q_side": [95899352, 96664352, 53952380, 197282075, 7317697, 96612867, 95250389, 96978901, 99378690, 95452286, 55365353, 1382335, 99455343, 196861794, 44159535, 38658306, 96653523, 2272082, 197170479, 46447179, 96855383, 197365231, 39995384, 207242036, 2805454, 100813194, 41335561, 196858087, 93213789, 93283825, 36163229, 93709891, 99220383, 99668764, 11693346, 101689807, 100622121, 197395208, 97899001, 96849123, 46194000, 93354708, 97051650, 94478782, 33294748, 30901679, 16691866, 96853991, 17902285, 19746793], "pos_side": [98443099, 20328812, 97510957, 8365179, 93600918, 4616234, 94836216, 18325713, 97549733, 22369022, 54038626, 30124017, 24236273, 39985743, 815975, 207133638, 94113711, 102084790, 6904201, 17764308, 100625681, 97302343, 207240264, 22429393, 94683880, 31418586, 98686497, 21839180, 32269577, 6711426, 197336112, 11567332, 95182790, 13761643, 54518708, 100635305, 96615044, 2205695, 6040584, 196884573, 25859504, 41177424, 36943918, 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95835432, 207118664, 21106949, 91306240, 1019327, 25434207, 98217784, 94859800, 250911193, 3792360, 95089392, 13104319, 12244379, 19525882, 93083012, 21587922, 263454924, 96163580, 96934131, 11268282, 55836475, 32511324, 4553594, 29472446, 20997942, 14071555, 16236318, 64632259, 83713175, 56416722, 101840468, 97917082, 17508780, 2187990, 104359228, 97739180]}}, "scaleup_22168761_12348638": {"query": "How to identify effective and safe SRC inhibitors in a living vertebrate while avoiding ABL inhibition and associated cardiac risks", "pos_cid": 12348638, "field": "Chemistry", "main": {"q_side": [7022546, 12867086, 20534421, 470119, 17168614, 2273617, 43028160, 8172235, 12910651, 24959099, 36710328, 20611912, 27793393, 207126578, 39318854, 699341, 55936, 33589334, 19024337, 86663221, 18828153, 46323893, 6409400, 16297595, 5291334, 17171574, 32633395, 41887813, 7246610, 83708604, 22189235, 30288904, 17084463, 10932528, 18987982, 6688759, 206253504, 34078869, 14649091, 27021081, 5816708, 995035, 7285507, 84849322, 206616278, 206849203, 19019508, 28463373, 15256065, 1421509], "pos_side": [26549406, 7449547, 211867, 11270638, 7528580, 5681096, 13299700, 12620209, 22395994, 43528596, 14803176, 13999345, 205290477, 876561, 36843102, 44764926, 20393540, 11263729, 36314735, 37151579, 70851759, 5605240, 14292756, 19423404, 7753611, 5748680, 33050691, 24604252, 15360107, 2785804, 17003247, 33174659, 6015297, 30067844, 9502225, 25054585, 22977905, 26088620, 15902422, 501667, 32999192, 8347470, 1424073, 32915310, 18079460, 8110595, 84427247, 14237236, 8921302, 30316309], "other": [2266081, 4857085, 17934366, 19002982, 27506448, 42282330, 52805984, 205228076, 11221376, 36377221, 32310677, 86802206, 2048761, 42728755, 3705117, 46319860, 13457572, 11704802, 205370366, 42379040, 22052474, 21631718, 16003331, 27728066, 1641615, 1760244, 11239361, 205532258, 7105325, 4514768, 3927309, 57790992, 711649, 14392848, 2940469, 23165687, 26118196, 2235523, 5771407, 5463159, 1979438, 46353864, 5804874, 43508677, 1172812, 9874913, 20362925, 784598, 7332622, 7040326]}}, "scaleup_36723044_95882047": {"query": "How to establish the identity of the malononitrile reaction product previously assigned as a thiocyanatoethylidene malononitrile derivative and reassess the structures of its subsequent reaction products", "pos_cid": 95882047, "field": "Chemistry", "main": {"q_side": [32359912, 97714178, 92012622, 37606983, 96758969, 37312316, 98189673, 97388944, 23783182, 1063444, 42709598, 98197957, 97881435, 95899352, 95257006, 95084693, 55434977, 95076492, 197006987, 95215207, 98151575, 37222335, 196913072, 98537903, 95780290, 100632831, 97544454, 196604084, 7201203, 101799113, 94805712, 17247937, 96246660, 196967419, 197060779, 94018723, 93852484, 96274161, 100622121, 96972914, 208927395, 98835057, 11210674, 98833468, 96821029, 95856721, 92818310, 98332343, 197282075, 97878458], "pos_side": [13185802, 197262456, 92295296, 197069857, 17334705, 96859374, 197199614, 96689347, 37176260, 94008405, 97687034, 12230328, 97345854, 197198211, 41525314, 551791, 46160224, 94961183, 97890544, 53059207, 32269577, 93527489, 197255966, 100987167, 93801464, 95056673, 95544733, 14529455, 86490196, 197395208, 95452286, 207392980, 98029916, 53952430, 197380360, 222365892, 96615044, 197248411, 96893217, 99378690, 96848735, 97521253, 35934764, 13605711, 19421598, 46194000, 35904712, 8365179, 23602334, 41909200], "other": [94836216, 95182790, 96014329, 97039031, 5597599, 96971801, 32868660, 34631597, 28555924, 1484040, 197066482, 98460204, 58911593, 197196481, 95866638, 19638670, 98327563, 97671413, 93807331, 98813095, 20918530, 94464149, 197056124, 42850739, 97480285, 6426717, 59368202, 23694072, 98705478, 94899919, 196918875, 25288608, 40308519, 93906664, 73517353, 957187, 96745841, 34537516, 42638370, 195819411, 207554641, 95499764, 25434207, 96060974, 26576757, 34455394, 19989604, 42933566, 3525929, 32306881]}}, "scaleup_21086119_15556973": {"query": "How to balance finding new candidate plans and finding feasible parameter values for existing plans under tight, complex continuous constraints", "pos_cid": 15556973, "field": "Computer Science", "main": {"q_side": [2548768, 265957829, 12500265, 8703794, 9014078, 12660953, 7030511, 12259201, 14775981, 14192532, 109722377, 20738666, 5741888, 819551, 14813354, 16859864, 8547126, 17651588, 1842081, 27430172, 1033435, 14048886, 20225299, 9666658, 29152146, 5989295, 14235680, 14137235, 5552872, 3239793, 7665156, 15671171, 28964450, 21076761, 6256588, 9411325, 519527, 12717061, 2752555, 633383, 14803252, 21100222, 29151818, 1125145, 17069062, 17547315, 6052130, 37547768, 14195977, 14231011], "pos_side": [153319575, 14962193, 5541371, 53957897, 88521423, 55160918, 207033823, 44530680, 2494325, 121665637, 534392, 16498955, 125036901, 254596293, 28118027, 2056931, 158659720, 55331034, 155601008, 39613596, 115075402, 7436788, 7317436, 122189445, 88513501, 124363841, 121794660, 22565707, 14392885, 18602153, 124403601, 109512042, 88511897, 62579387, 18430077, 27450941, 9382301, 125752067, 52365, 114306848, 17278961, 32130524, 1493173, 168944010, 36257728, 9615595, 119523173, 119157928, 88513808, 7163906], "other": [14558305, 28719853, 113849244, 2572769, 2096192, 31439695, 45837636, 118418635, 78236780, 18265699, 7771592, 713850, 487742, 56160542, 146895423, 64120351, 14328332, 14962772, 8877855, 8192164, 13077770, 26373644, 3460814, 118565845, 112691958, 16264323, 13827212, 42309979, 15492137, 110614592, 42272463, 255961751, 207646874, 29677134, 17843285, 764951, 8247709, 154633760, 29272876, 17810718, 157946174, 5687714, 114218638, 31742165, 25586180, 15060598, 42209789, 4550745, 27488308, 16503941]}}, "scaleup_12325031_12922309": {"query": "How to make effective wireless network decisions under constraints when network dynamics may be unknown and the network state is only partially observable", "pos_cid": 12922309, "field": "Computer Science", "main": {"q_side": [14615375, 5162037, 14167895, 6692119, 124016, 8478722, 8210258, 761495, 17241299, 11875350, 11624726, 18197408, 14228796, 17909942, 18577919, 7894316, 560173, 1477561, 986644, 15277094, 17015610, 17521841, 7811263, 7616490, 979296, 1049469, 2155781, 17106993, 1038, 14971163, 5564885, 14164388, 3036076, 10944381, 5780583, 6207904, 10595530, 6039313, 4337281, 9501353, 5701807, 3051453, 39594462, 30493527, 965197, 12704589, 13194456, 14234096, 17432854, 1505009], "pos_side": [12880863, 16563046, 11950868, 1265698, 6146398, 2842874, 7680124, 7174542, 36805325, 1348113, 2214231, 16881974, 18972563, 10928039, 2971980, 29008, 15040636, 3582011, 743805, 18988402, 1493709, 6126691, 8153855, 2808993, 12028028, 16529836, 1673471, 55556356, 16130442, 16860438, 9763768, 15592760, 6346042, 1665921, 15211446, 18589862, 2101612, 29994, 1195261, 15471533, 2275521, 9371975, 7290158, 10457864, 6160477, 6310512, 1758609, 16623105, 11929647, 31703457], "other": [12524291, 1045350, 15138003, 513057, 14244277, 18342896, 14952618, 9314411, 14030962, 129567273, 12320854, 32566873, 708, 3265357, 8807018, 19278928, 255607555, 64763708, 14542066, 1223698, 379130, 8701358, 60901972, 19023651, 7213883, 2361189, 6955053, 67762785, 10305073, 8496438, 7722973, 1290417, 18769179, 1654799, 121810021, 845221, 18878427, 8348142, 16843843, 15119116, 373050, 15529822, 7920253, 10571289, 55003445, 60157012, 10662647, 56160184, 14278965, 2799660]}}, "scaleup_17169677_89141": {"query": "How to reduce tree construction cost in time series classification while retaining useful classification features from a large candidate set at each node", "pos_cid": 89141, "field": "Computer Science", "main": {"q_side": [12487233, 9740982, 38555464, 7853163, 50896172, 14326587, 24632217, 217180, 16342187, 88822, 123007831, 14005238, 1406675, 12685501, 15135207, 15078489, 18750184, 62578116, 9469055, 3018103, 5957692, 254421566, 2464723, 151455, 17089577, 12507106, 13092453, 121596287, 12260867, 2675166, 10624960, 9466688, 15108548, 6143656, 1840777, 1076010, 11285497, 12822540, 2945418, 17293814, 6930055, 8103963, 17966708, 19882815, 1180240, 1818942, 120883399, 215780101, 14675910, 9619753], "pos_side": [6124978, 14455919, 15136876, 3329036, 118794721, 15153234, 39491, 17884704, 7339056, 2344521, 8555021, 2849863, 12056314, 15615117, 3188150, 21174115, 14144101, 2469814, 37656361, 52904406, 109050574, 14379357, 60299352, 5973258, 267798032, 38364783, 40422398, 13923011, 43438522, 7186873, 8002980, 268128523, 31142173, 1883116, 37613840, 122145028, 35494715, 19049369, 33258537, 14017327, 12580988, 15171757, 16609514, 16088404, 16896980, 8123677, 35789454, 14089358, 16093916, 14423354], "other": [32296251, 2663682, 11913159, 36107983, 2060071, 1450882, 9720105, 10136061, 18159377, 8434520, 123069902, 9662116, 14427428, 16151573, 7569498, 27804132, 2133233, 361499, 15922538, 28053695, 273299406, 9804031, 12088261, 3266421, 26410501, 13510905, 8078447, 7582116, 3034599, 142631790, 5571333, 8237837, 17219933, 11073202, 32661326, 131368476, 2040628, 88518213, 173611, 1649653, 16947510, 9339129, 28048169, 2183040, 1237489, 53127857, 88516273, 2976195, 861045, 1317094]}}, "scaleup_49584957_740063": {"query": "How to generate informative code summaries that capture api knowledge without heavily depending on the availability and similarity of retrieved code snippets", "pos_cid": 740063, "field": "Computer Science", "main": {"q_side": [7479556, 15813825, 13854782, 12476350, 62597562, 8030259, 1943988, 8871175, 707971, 11703129, 783241, 14961792, 17395220, 2055498, 219306167, 10548729, 8934378, 10064728, 13589386, 6534816, 16018359, 15823389, 4639650, 10656182, 12250431, 18627730, 12533078, 7031344, 1838355, 4861489, 16812271, 5437729, 2287282, 10038354, 7670450, 2777695, 756156, 16131237, 13578285, 15795297, 14893684, 11119571, 42945926, 14673025, 15246440, 18999153, 13237013, 32209689, 12779706, 25003307], "pos_side": [4693779, 1016468, 1240387, 7458496, 13276714, 19504559, 2962975, 15611898, 10671372, 16281508, 15345185, 37053791, 3263452, 11925170, 263313957, 15650522, 18497021, 17317205, 7579365, 14141965, 14230044, 41165076, 15090011, 5013938, 5909635, 24005485, 217954891, 1409197, 6515824, 12778804, 60643988, 3908105, 25162465, 8069656, 6662574, 7715552, 18748949, 17411042, 12818226, 214802537, 14735241, 5096141, 207513801, 13345472, 7681113, 14090587, 6341648, 199543734, 18299094, 18445085], "other": [15781313, 7713142, 641320, 11600111, 6920091, 3134584, 14895556, 2937889, 9556453, 23237014, 8153918, 8762540, 3495200, 14749283, 14777460, 864767, 8712393, 14803336, 41756865, 5294957, 30223123, 12823757, 9373614, 16506737, 6588880, 49721001, 8028285, 45048417, 7710214, 7770864, 207243303, 5294049, 3148650, 12168892, 15556529, 1449366, 28420095, 26959084, 16321038, 6171074, 31347640, 960953, 33644795, 8357969, 3252767, 6702678, 15334044, 15240037, 7385974, 14151630]}}, "scaleup_3371871_7214363": {"query": "How to select initial users or marketing actions to maximize expected influence in a social network despite uncertainty about who becomes influenced and how influence spreads", "pos_cid": 7214363, "field": "Decision Sciences", "main": {"q_side": [9497628, 608820, 16146944, 17616532, 824453, 2052815, 13808362, 14612426, 7815260, 13007899, 81927, 8674491, 60589881, 14569862, 16456866, 7325442, 14434666, 16238350, 36444413, 290652866, 15756419, 3090245, 263896007, 16833629, 1121473, 2842874, 14526010, 1471533, 2577420, 14147390, 14212601, 2042764, 17349443, 7232442, 14521760, 2202136, 168155233, 6439674, 9216824, 1622981, 15440812, 7044199, 13677827, 271280, 14088346, 168053717, 267939412, 7113792, 6172004, 12507919], "pos_side": [655060, 7806485, 15999206, 120351754, 142127775, 19016968, 11136190, 30206186, 155715415, 15518740, 16778508, 17924978, 3150488, 5836328, 1757710, 18463192, 32594404, 14509456, 14454560, 416492, 5591508, 110514, 14781141, 14156145, 10861794, 15184308, 62907655, 1413845, 8490746, 10722094, 28833791, 11606383, 11138860, 5337045, 144017, 8984013, 15191453, 788321, 694666, 17275766, 12474195, 11293162, 16739033, 15840198, 28710439, 17552924, 148126240, 584594, 14815646, 17129081], "other": [15556973, 7792058, 16429650, 146364819, 15616267, 11171233, 59746081, 11425256, 16933098, 13937621, 14831093, 1270169, 2678447, 2612128, 28968791, 52599470, 12744927, 480303, 63947453, 26206308, 141269488, 7721109, 14929538, 12404634, 23059086, 145316587, 220919170, 73651707, 13515471, 34473775, 119761482, 34348584, 16548953, 33374114, 2482608, 45272308, 54546129, 7763503, 14017316, 291504386, 9419053, 5908748, 6909005, 16443609, 155055607, 2125646, 4891316, 56425679, 55593397, 18822007]}}, "scaleup_51987568_1145074": {"query": "How to efficiently compute query result probabilities involving arbitrary Boolean formulas in conjunctive normal form", "pos_cid": 1145074, "field": "Decision Sciences", "main": {"q_side": [15969559, 9572017, 2520575, 464404, 263798427, 17403982, 1327562, 25761251, 334870, 545579, 8682450, 1460175, 4390197, 10189530, 630937, 5918934, 115572, 14223909, 13127385, 7457473, 207171808, 8120220, 10204497, 1973137, 15431993, 14682146, 15424815, 3107060, 266436933, 1860144, 5310312, 1566390, 4943374, 15679315, 1610926, 11434265, 3207580, 1160485, 5293424, 7512840, 7046839, 12869739, 7640212, 21137428, 33803427, 1929185, 14217036, 2253676, 3907156, 10422980], "pos_side": [33668297, 7819693, 15804842, 12471098, 8920802, 16126229, 38022973, 11875367, 28703238, 2669883, 4855670, 8397948, 202654, 11977997, 16204229, 16747841, 17872897, 44679972, 14081702, 1676792, 12086900, 15869755, 9227019, 36969801, 36132492, 17125814, 2556640, 18379565, 6248661, 8791105, 7549221, 15124878, 2125192, 9733978, 3935841, 2504498, 14481782, 17674889, 121499051, 9470086, 6234050, 1398897, 5584859, 7963553, 7285487, 19788813, 5144640, 10675847, 7182525, 37597229], "other": [6301744, 4666009, 14842532, 211264671, 5879699, 6033300, 1808049, 11058948, 9081907, 11326577, 3687983, 10037362, 10204801, 119016754, 1537120, 6403913, 59404193, 29927503, 133610, 32342273, 5573070, 10824848, 781796, 16699956, 364276, 6422728, 9165575, 9448795, 6555463, 1981826, 7992206, 6603793, 5950281, 15460492, 4491664, 8182122, 1373683, 10096898, 16238652, 7745672, 5358299, 15631793, 14362403, 1525539, 7729391, 14476802, 7626868, 15518046, 1049527, 16699982]}}, "scaleup_17480282_52804752": {"query": "How to estimate a nonlinear reward function when only context distributions are observed and rewards cannot be paired with their realized contexts", "pos_cid": 52804752, "field": "Decision Sciences", "main": {"q_side": [19106988, 53046873, 49669046, 44168833, 18191790, 11965834, 12543264, 7317294, 18697135, 4864648, 10626101, 865427, 16466276, 7782433, 10179783, 15648605, 2990188, 2020606, 125629989, 54444528, 52903291, 53107109, 17945430, 4933781, 8477123, 37334463, 29156543, 1078412, 2566173, 13748235, 33985488, 52823191, 49654320, 2059032, 3262954, 16373926, 7333803, 1696960, 58672646, 8627359, 3887746, 57189180, 29163709, 43943175, 18867309, 53209130, 3362416, 14616648, 44095973, 38944671], "pos_side": [10510175, 46937778, 27543381, 49320673, 54434942, 2181569, 49669600, 139930, 13670935, 207163620, 21650267, 3625614, 8685592, 2081072, 16204135, 39675204, 6253818, 6121663, 50773828, 52186144, 9223426, 12355382, 19118100, 53435640, 10778973, 88514950, 49312150, 3075935, 7725882, 17740071, 85542922, 3382894, 6627476, 1380187, 46968955, 11237325, 7099468, 52812505, 30099687, 15046823, 49865557, 14963006, 52911385, 9416723, 15044596, 13973870, 18274141, 15700284, 11429242, 5742872], "other": [26464771, 17375935, 13900458, 3745480, 683220, 53116090, 46938244, 12127546, 2083706, 16561904, 31483445, 195346174, 4570661, 12623082, 3583464, 46932612, 7806620, 16848143, 570214, 24241243, 3332671, 2294751, 709586, 214920577, 6470996, 13760762, 3426898, 12734615, 13941648, 2391109, 53438249, 28470390, 52115303, 3805733, 8923841, 10415253, 53094448, 8113803, 6336586, 16023503, 205914280, 3615435, 126057515, 11572919, 9368765, 17742806, 3539139, 6126691, 843105, 3884028]}}, "scaleup_4086615_14415824": {"query": "How to determine how long fixed tooth-supported restorations last without underestimating their longevity", "pos_cid": 14415824, "field": "Dentistry", "main": {"q_side": [23868610, 5688496, 42521104, 44461759, 22515694, 10789709, 20646666, 29882443, 35524067, 39043189, 24383570, 27453020, 13272654, 20010382, 33137390, 6218929, 22647816, 19617016, 72737188, 27010087, 20372553, 708043, 25923663, 3293413, 11856663, 23600458, 33495297, 23501460, 27232214, 30994031, 254083194, 207414616, 2079714, 40256283, 421344, 254076396, 42475913, 21825025, 26321686, 20763488, 26414524, 36471383, 39577700, 10470922, 254079279, 15179073, 13364227, 1031226, 36476224, 34286800], "pos_side": [264661653, 20542564, 35453162, 2901030, 281956431, 5352759, 22068814, 19295123, 979709, 5813124, 8201945, 13201658, 14166840, 205028431, 52996858, 71956130, 12589480, 26742240, 22076268, 7944528, 1186322, 44544448, 2639253, 78639021, 45301962, 7073061, 5042527, 12284903, 23254617, 7993267, 13128891, 17541182, 25224926, 7104354, 206302048, 205703813, 26829508, 26956341, 8229293, 13379287, 4491907, 25496685, 20206842, 6668447, 37898033, 44395792, 18019351, 19428470, 32993241, 78429649], "other": [17666534, 23670928, 8100873, 34191265, 58255504, 16864558, 23099772, 25970664, 30425240, 33743714, 22473234, 1760859, 16608686, 10580298, 22955724, 30764911, 25886139, 23471927, 35248619, 42873498, 85404656, 38614196, 25736372, 24353396, 20097566, 28291151, 24068491, 7942400, 35855592, 55252766, 70507497, 41240725, 36051856, 14637145, 44579678, 26142213, 8369997, 7749291, 215255841, 12984618, 46037981, 30706075, 37088022, 45647690, 246632, 29751338, 11202235, 55303996, 20722737, 24409787]}}, "scaleup_12522998_1843083": {"query": "How to identify statistically significant differences in relative abundance across classification levels between two groups of children", "pos_cid": 1843083, "field": "Dentistry", "main": {"q_side": [17277190, 14392270, 12709340, 6193538, 1776275, 53525499, 42419558, 9677006, 170285111, 16277061, 10248135, 14190410, 16391191, 34722359, 16563745, 39015084, 5653161, 13781262, 58199867, 14732366, 28174701, 15968642, 72428807, 45264733, 2711092, 205393943, 24503182, 9295089, 12982830, 8416531, 10134879, 21802048, 207544019, 43869393, 5345090, 11271246, 12678409, 12233402, 12896315, 27301764, 37320824, 10496030, 10144119, 6930653, 20309392, 1551607, 1627072, 285917369, 20456099, 17367902], "pos_side": [24677243, 12028255, 5778757, 205694474, 2416340, 2942822, 13009833, 30601148, 38666241, 3002347, 2917069, 3123758, 2018104, 855674, 17064067, 6049182, 531321, 8845765, 88519063, 3881114, 21867752, 14497311, 31698009, 11170404, 2158539, 40133191, 18723936, 14469829, 16757011, 14935658, 14928523, 84710646, 5535970, 119149991, 8817861, 1808752, 9631041, 54440, 11664650, 14988311, 46488895, 10928196, 26103603, 7938916, 28788211, 10110041, 16679901, 3372563, 2735065, 6793559], "other": [6456751, 10086836, 15545721, 85690135, 85283970, 29317283, 37240629, 17017048, 27453287, 3054158, 126264490, 16364450, 1120561, 854368, 25305422, 55920176, 7811519, 291174999, 82000081, 49560348, 55495314, 12429472, 59408852, 55319434, 85103000, 389736, 14442907, 39796192, 84422630, 146958036, 55345045, 1998208, 38361002, 9482521, 17980820, 10628089, 11834033, 85909612, 119350071, 5485635, 7900839, 1716482, 9150134, 8924260, 55839647, 17056909, 29945207, 83715927, 1377363, 56419064]}}, "scaleup_15706695_10184700": {"query": "How to fully account for socioeconomic position\u2019s contribution to ethnic inequalities in health and avoid residual confounding when it may be inadequately captured across ethnic groups", "pos_cid": 10184700, "field": "Dentistry", "main": {"q_side": [13663206, 4621765, 23291504, 13215192, 73284510, 539504, 21686964, 8814857, 39237146, 42372789, 81344720, 155382760, 13187005, 12385823, 14082470, 72754718, 205213762, 12642169, 33252078, 21179543, 46957033, 51678989, 54567830, 22088483, 22012925, 15560096, 5140797, 11591631, 1697944, 8895963, 24276713, 23976436, 262478339, 3488898, 204986361, 3894001, 51926055, 33375103, 22059098, 158766438, 10365112, 8044342, 3778220, 13614245, 51710125, 3675411, 6167342, 195674801, 13106942, 5676347], "pos_side": [3431826, 15531189, 28785605, 1944137, 11407610, 205235505, 6211284, 995407, 7556276, 14721542, 54724529, 12903090, 9316966, 9884557, 11004618, 19118330, 53988418, 15257928, 9872033, 13548207, 8130368, 12246861, 158829424, 24035548, 8949070, 6192465, 6449108, 27355503, 18560125, 25848457, 27778501, 6104603, 49562495, 26537120, 20956, 5030560, 2616569, 22681528, 1099855, 22274794, 5631779, 1160244, 230685, 207501510, 38525786, 19207929, 206422087, 12356599, 4546596, 38270028], "other": [3392367, 27933343, 24465987, 205589155, 52181072, 9776809, 80692079, 8201803, 26224886, 71795872, 1220557, 21221874, 5758747, 12591278, 3857115, 15083577, 2112333, 3319907, 15763619, 24232111, 19040637, 23957793, 21877686, 6254344, 4573976, 25930861, 15476191, 5899950, 4060068, 54937164, 17894946, 14471046, 52841410, 17335221, 9312596, 7995812, 17961871, 24668339, 53044228, 14824373, 53097438, 19034574, 20739429, 13776381, 1651037, 11117355, 3452318, 56173460, 42791287, 33900299]}}, "scaleup_52179461_21369860": {"query": "How to explain the embedding of an auxiliary device\u2019s pointed tips in newly formed bone at the cortical surface", "pos_cid": 21369860, "field": "Dentistry", "main": {"q_side": [111813986, 15523947, 207415032, 2647403, 5294497, 16673264, 17355483, 16863865, 29587805, 24257740, 15147364, 17680136, 19009876, 282358039, 214651470, 6257042, 26984277, 71796732, 13004138, 4457349, 46312911, 11000606, 44386030, 32664717, 53734425, 24161125, 6895140, 53527644, 20419208, 10269063, 33374455, 3662591, 11761156, 8499552, 13669501, 23303170, 1871761, 39463539, 4507395, 5263379, 37451247, 19866734, 34985659, 27430718, 13760160, 16141769, 17130784, 3575177, 3275938, 7052444], "pos_side": [24507492, 13749422, 956879, 1468890, 41680476, 20739649, 24629511, 18813511, 6257261, 32172113, 1101996, 17241656, 18564484, 10687328, 23523361, 159072, 55454364, 44987401, 18023289, 2293010, 54516772, 17785763, 46014711, 137357460, 6660995, 13365755, 38895384, 256421594, 24550367, 43193996, 100748511, 728554, 137634969, 206012829, 15680546, 42992365, 22710857, 205253558, 13447608, 27590067, 13680432, 80156033, 205252115, 5175905, 255841816, 20264258, 7342704, 7576342, 17739466, 18373408], "other": [76339387, 1713537, 32794383, 43715230, 16753781, 16978174, 3376949, 26468426, 1012723, 7960764, 54032644, 36500024, 6367811, 290643489, 13027467, 12615739, 9028855, 37804233, 14015791, 59088872, 9903838, 5665147, 216036582, 6945514, 9285829, 3828105, 32090463, 34114204, 7556280, 6771196, 59610655, 2371745, 96134313, 5862946, 1106039, 139046124, 10164565, 16178753, 17690721, 1395581, 74601662, 414928, 215506538, 207237584, 255859607, 145035975, 7539444, 31472547, 2394295, 5414539]}}, "scaleup_3105394_13670028": {"query": "How to compare the extent of silane grafting on differently treated denture-base surfaces to clarify chemical interactions underlying bonding to a silicone soft liner", "pos_cid": 13670028, "field": "Dentistry", "main": {"q_side": [448273, 25701779, 19352321, 12413918, 138397225, 19892770, 12481780, 24414853, 9065411, 11214244, 11462172, 22918310, 2303785, 29658159, 26048367, 32905949, 12106905, 23631264, 4571598, 54539209, 137338580, 1813014, 31043074, 54818381, 25794103, 32575427, 4800761, 135848769, 35692365, 52263663, 17981221, 71738900, 36840076, 6913419, 28260125, 45595744, 73209210, 74064244, 252484947, 98422890, 10002146, 9823428, 9582039, 12871005, 35208032, 53613236, 46118798, 11472159, 26570165, 4668818], "pos_side": [23423323, 137635020, 29605151, 30425240, 95481785, 25880920, 71604954, 135836902, 5777880, 258770, 7902985, 25042730, 67785783, 5600862, 5117710, 2658972, 973953, 34140594, 205988457, 45308582, 1721886, 137261047, 23339158, 58541, 33188384, 135705341, 136046773, 3565026, 137004612, 136748751, 9218806, 25259947, 94588703, 136743799, 137217498, 2465236, 11612686, 137514377, 22926883, 39339854, 30467106, 12122496, 98202658, 12905523, 25275826, 24884653, 54645821, 136657449, 20773910, 33055306], "other": [21457332, 40187079, 20914828, 53487242, 98543089, 72470361, 5708302, 41001386, 16668587, 20554038, 9982151, 93398122, 11360413, 36794786, 94964033, 215255841, 87212751, 23988391, 11286274, 45651954, 28863368, 15415005, 7276176, 42529517, 137629978, 18044007, 14358103, 25796971, 136776251, 9704781, 136436283, 11058812, 285645676, 279658, 24306270, 264814635, 207093139, 135636867, 42770157, 98381289, 20722737, 20267885, 7095774, 96988696, 18007941, 98031574, 20282544, 15181096, 135744111, 137351446]}}, "scaleup_18429344_23782947": {"query": "How to limit inflammatory responses in P. gingivalis\u2013infected cells while preserving their tissue-forming capacity", "pos_cid": 23782947, "field": "Dentistry", "main": {"q_side": [15870541, 43565879, 86058050, 7462476, 6532660, 25122091, 43725126, 8646527, 14082883, 263348261, 7469795, 40026391, 5196573, 40643070, 2619968, 255813316, 35395767, 18362238, 1756814, 24933096, 14952040, 255837587, 9618252, 7236187, 34630524, 2629628, 25499230, 4320894, 28515404, 15276519, 23410376, 14767277, 20594759, 97897526, 15405099, 4200817, 34899376, 6091950, 17344951, 78677975, 5291563, 18215682, 11106803, 178028355, 16924639, 24795950, 15496316, 3295123, 16892623, 1465986], "pos_side": [19563827, 35409720, 264042556, 33469648, 22032361, 5735823, 14731056, 1748501, 2644393, 20424371, 5703621, 7772985, 17336530, 10443829, 24904764, 22496852, 13487709, 14574416, 38568786, 35715668, 8997879, 24608038, 11328279, 6394264, 21805697, 8478154, 10959853, 32541329, 12536367, 23707302, 10727425, 29804413, 11426289, 12629647, 17678576, 2842275, 13867895, 7652798, 40479015, 5396146, 1574245, 6637866, 45976436, 29388649, 6190356, 43439508, 84847884, 20911577, 13689322, 25713273], "other": [29803232, 34188505, 25232003, 11936379, 28363812, 233455158, 40893293, 16755681, 18078889, 1019928, 17392300, 36401982, 14102159, 11985816, 56871659, 35487735, 16642345, 11223392, 288304521, 83722544, 16467630, 205651077, 23470018, 14313256, 27346260, 6581497, 32497072, 84182542, 16918057, 32295561, 17946758, 14141518, 43268307, 1554435, 72256613, 1755075, 12867687, 9727134, 5553801, 36154544, 13509437, 14329594, 31472999, 24153598, 5385178, 39224267, 47010063, 30564044, 6476747, 15791133]}}, "scaleup_52179461_55133097": {"query": "How to distinguish the effects of auxiliary-device presence and implantation duration on miniscrew displacement under lateral loading across multiple experimental groups and time points", "pos_cid": 55133097, "field": "Dentistry", "main": {"q_side": [21604466, 9879573, 2295872, 5294497, 21930114, 13994434, 8584948, 37848816, 258710724, 12329618, 15086669, 12477249, 6954240, 256407789, 27666519, 24115890, 23655064, 137428207, 207360927, 5813323, 71193111, 17226756, 15420132, 1761957, 205724991, 6240190, 16488511, 22767104, 73024296, 39610120, 13831797, 4094523, 1084090, 36980911, 256403874, 32185838, 25026601, 161724, 19881591, 23356768, 40575096, 8827481, 27050008, 15280046, 13230945, 138330728, 27169042, 7376623, 34788048, 206343584], "pos_side": [10658780, 25825681, 42099817, 9442556, 36337153, 15999661, 32134104, 13259841, 88523048, 25713445, 10524071, 8597048, 29024144, 14720658, 15786527, 23853735, 15491701, 8180031, 21383633, 55917316, 9237350, 118785171, 88519611, 52804003, 822697, 124498390, 3925890, 32783011, 25387826, 24376791, 11096594, 55902199, 24115461, 37225860, 46076905, 30670205, 110001675, 4208225, 3764232, 10295754, 10093126, 1544109, 2484235, 3280261, 73241771, 22387445, 25872658, 40497672, 3557368, 248422298], "other": [24507492, 54523775, 238357, 7244278, 8533039, 19838786, 206703429, 16006206, 205726789, 23547408, 1448653, 15947282, 25970664, 11637378, 17568853, 15637688, 24041698, 46588214, 41763620, 42501209, 138300640, 17832194, 14888442, 256421650, 109378532, 24838654, 31978105, 6133189, 32296402, 11171533, 29900895, 16558850, 2215571, 238345472, 14068337, 1482690, 14262480, 10278090, 43816049, 256929715, 2934577, 3273236, 8644249, 18370947, 26418666, 205653761, 25049390, 5154639, 23830717, 34210133]}}, "scaleup_13452703_54744686": {"query": "How to assess the sensitivity of predicted crystal preferred orientations in deforming mantle aggregates to numerical choices", "pos_cid": 54744686, "field": "Earth and Planetary Sciences", "main": {"q_side": [131229165, 15031916, 7611964, 119259935, 205218641, 55052443, 98747182, 54057419, 129993931, 4425758, 18572721, 205275388, 55765763, 140586206, 93603197, 59419637, 129377814, 53500931, 56400722, 264199945, 55947523, 140657403, 12868464, 73611080, 53508804, 55688424, 53688289, 2383308, 58898268, 3283919, 94175446, 137503542, 133298386, 54888298, 6412516, 38470036, 134071042, 134564267, 119204796, 256924385, 58900790, 3326340, 129453515, 131863487, 129286525, 129260934, 97291220, 5806430, 129908594, 131349049], "pos_side": [116598133, 120236869, 119397455, 138175956, 137561765, 119272827, 129954438, 262296891, 131042727, 1918536, 170077085, 119336419, 14446539, 135698182, 21331336, 137194755, 15224745, 118663828, 54086481, 118993368, 227424159, 120034537, 55198315, 42830208, 119451280, 126571654, 34402419, 17586709, 283037584, 21698798, 134917249, 39454910, 135837629, 136297350, 17836602, 125651586, 135500566, 128485034, 14835631, 119329960, 810778, 54024135, 121384201, 253681114, 14258886, 122755027, 220687840, 55224851, 53969619, 138576211], "other": [137584559, 135863716, 53345438, 3034168, 53400530, 15507452, 56026519, 40592639, 135486262, 55347040, 135586941, 73604226, 118430110, 136103295, 262479228, 136421338, 133834181, 8518370, 95989378, 56206499, 24153954, 25718580, 2241227, 8647362, 137319681, 137475750, 94782523, 39499143, 9218658, 341391, 11772860, 7394350, 11875561, 136618991, 53327824, 12158698, 135825626, 6445162, 44647175, 36028252, 137039197, 131821075, 136857520, 6490268, 18729479, 44913420, 206494462, 16114153, 128108069, 136443067]}}, "scaleup_13460266_13400443": {"query": "How to determine whether reported rapid sea-level rise corresponds to destabilization of Pacific atolls when local records are too short and unreliable to establish accurate sea-level rise rates", "pos_cid": 134004433, "field": "Earth and Planetary Sciences", "main": {"q_side": [132552994, 54948943, 10064686, 133937999, 123781247, 42106328, 21488669, 134413451, 120654519, 22542797, 16388664, 131063656, 135094419, 126730102, 17947470, 130025993, 82734020, 248369446, 119228560, 55120864, 129571193, 29599661, 129464849, 53574253, 129029749, 128898051, 133563448, 92995581, 115076588, 188680274, 54222764, 3797275, 55935880, 56310807, 126083502, 129175885, 53056961, 129432198, 131019564, 128827199, 30531828, 4930576, 12410920, 28207820, 11083712, 7498543, 134168484, 135223418, 128416920, 134975925], "pos_side": [3520971, 158487463, 31057812, 132350593, 128464811, 55787030, 56454647, 23117799, 55896438, 64369992, 134362446, 128594147, 62824947, 8829951, 135129948, 54963361, 2818236, 55438180, 35355397, 128443881, 14821144, 73697144, 56482107, 157680067, 157283520, 4852561, 33302122, 83607356, 56575749, 53606044, 156232945, 4142159, 9210628, 40238570, 51794744, 128958898, 158576403, 119434952, 10253183, 54732093, 53039000, 55526291, 20044186, 11787215, 17555844, 21008644, 53448576, 13665343, 16492297, 133833144], "other": [14468719, 53959611, 55598061, 18634479, 133980310, 54719435, 129509234, 131549590, 129806599, 128788701, 54871302, 15262731, 53587032, 53513926, 55015564, 135195918, 135048938, 134296863, 54554982, 20943161, 56439111, 52395092, 130713530, 130156495, 12168746, 140709018, 49561846, 133774171, 55908972, 11571250, 51764387, 54945042, 55951420, 59938645, 53368583, 4602499, 59271209, 132803104, 53668128, 29478218, 134397371, 135443364, 131538491, 129755597, 52108932, 178422931, 21354566, 3001820, 131031275, 55636453]}}, "scaleup_20875063_1650181": {"query": "How to assess future sulfate aerosol radiative forcing over Europe under different future emission conditions within and outside Europe", "pos_cid": 1650181, "field": "Earth and Planetary Sciences", "main": {"q_side": [14517512, 56175160, 53978645, 102564187, 53052048, 4676048, 53578099, 6181386, 55715266, 52953430, 19676835, 4668124, 37007285, 59417027, 52951613, 55824802, 5043347, 133250492, 56572557, 14105541, 128667809, 55969835, 264766632, 55239765, 55250975, 96438814, 3033862, 5028322, 18467349, 104174026, 55365569, 54211021, 55938851, 54616531, 56408142, 18726662, 55221791, 125120104, 54537516, 17034294, 55471909, 3515747, 55919599, 56042893, 91290238, 18033438, 119091200, 39288734, 3290575, 54637144], "pos_side": [96130084, 4849576, 36893088, 16452329, 14672418, 112231981, 126552415, 14503272, 4567370, 53973991, 3107749, 121923212, 17272100, 146594, 4769832, 166720504, 10628490, 16330917, 109893274, 17187853, 109511142, 153425742, 54747971, 55064898, 239781734, 85508956, 153627140, 129439666, 56383207, 56232700, 16503651, 132990980, 155078687, 53508469, 157908515, 59390610, 266193199, 128906134, 154988598, 154888107, 157314401, 2717498, 36962853, 130106311, 14847237, 8872638, 98851522, 53648321, 54667679, 115761405], "other": [705990, 8963976, 55560278, 55082122, 13756061, 53995997, 3277798, 155863099, 54625113, 53554114, 133443145, 128716559, 55599105, 135052466, 13990069, 97708558, 122772519, 7062686, 18709897, 56574524, 8223504, 55467794, 17099550, 6559301, 120676327, 54689925, 16075528, 96964142, 64552441, 54848672, 84698432, 106403065, 215778795, 13985300, 55395825, 14097474, 4383864, 129527273, 54870948, 134871658, 133644502, 56342701, 263325176, 15099544, 91083065, 16937940, 1947595, 55157298, 134719855, 6083844]}}, "scaleup_52110583_11930184": {"query": "How to determine whether the atmospheric anomaly of 774 had a solar origin and how its intensity varied with latitude", "pos_cid": 119301845, "field": "Earth and Planetary Sciences", "main": {"q_side": [153899404, 127517860, 54031982, 13196539, 17572934, 41963098, 18352480, 133401898, 30278972, 53227725, 4911384, 52042196, 130513919, 56199021, 203952024, 119155024, 226957435, 130199495, 62797581, 126316437, 119265925, 55802318, 54871302, 132803104, 16850599, 16422354, 17232501, 16625850, 56382551, 130214816, 4065771, 134399904, 55795120, 54828211, 133284643, 6509830, 15789428, 15666252, 129838717, 55645015, 59021086, 54075142, 51706839, 130048301, 10388125, 30682588, 129930249, 53520519, 55432366, 56246843], "pos_side": [130559208, 128620539, 119163371, 96533695, 131348152, 67061880, 55388821, 15817178, 53395307, 133389348, 97230246, 131693884, 22845011, 96087670, 54862078, 129726006, 12876854, 12144229, 129420671, 53119299, 129731949, 28217312, 15547569, 15699567, 118673220, 129702999, 14369899, 266351451, 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individual live, motile microalgae with spatial and temporal resolution", "pos_cid": 1531438, "field": "Energy", "main": {"q_side": [87033016, 22305695, 13154334, 30029611, 5412508, 89596544, 4586789, 84660559, 12863883, 20184417, 91057436, 43854358, 1363133, 86282749, 13951427, 8198078, 27978398, 266048189, 25358100, 30564085, 25225776, 548580, 254941944, 10670258, 17366082, 90956135, 9977343, 31436032, 9776845, 4587882, 9735677, 58896578, 15448120, 54468574, 255956007, 9310904, 16969558, 18647815, 3561054, 7329198, 3283533, 73717707, 6032947, 85016168, 9863852, 16803985, 4641159, 22756239, 22155711, 3724482], "pos_side": [86252197, 14976659, 40069513, 263266871, 4379747, 53615806, 15509024, 623442, 28671990, 14294778, 87463663, 17361586, 1166183, 55643785, 5723816, 38867819, 9286460, 9987563, 9735674, 11191779, 17149442, 5812630, 7521415, 18712840, 8776223, 12476419, 6247110, 5025250, 2227775, 5692306, 276453, 11016779, 86115543, 14962395, 27750969, 83591765, 17599230, 7221259, 249753953, 35256642, 14414836, 206034590, 14237454, 1603854, 5522037, 290738240, 3487726, 9783439, 21969898, 13542703], "other": [6119471, 7991063, 13131970, 14186220, 25792660, 83902963, 10295091, 7123508, 263089633, 5130950, 2172170, 5950271, 36336842, 9743702, 15788847, 139010450, 22313701, 44384137, 256924900, 205590430, 55611527, 85778054, 1461578, 16219395, 18550171, 35550946, 31292242, 6184618, 1494555, 21282308, 2188616, 38273325, 54871986, 20472315, 36418646, 11716332, 8740819, 40212075, 2734001, 38571826, 30949750, 4582378, 11533988, 37877319, 2199807, 86384035, 38904067, 1523982, 40699857, 3132708]}}, "scaleup_1211280_23770747": {"query": "How to determine the origin of the modification at the fourth carbon of nosiheptide\u2019s indole ring", "pos_cid": 23770747, "field": "Energy", "main": {"q_side": [6065814, 18286901, 5509972, 32734177, 43407355, 28667766, 30387625, 95275068, 24899018, 22286633, 25636565, 24678292, 5141095, 28183555, 6256838, 1023397, 24700263, 1787487, 3168342, 35514969, 24312331, 4823900, 29321118, 27726228, 27023022, 26163962, 29552064, 19700956, 23820191, 6086747, 5170363, 17706401, 20292270, 27975725, 24185141, 29744822, 19502683, 7780714, 19470225, 207137575, 25809440, 25523894, 37832444, 4667954, 45529868, 5976734, 282292, 24522716, 5981199, 40112337], "pos_side": [32505471, 35092234, 35846416, 37873281, 95203780, 27690458, 97946382, 94958040, 14375088, 95490107, 27360723, 33921555, 2866214, 5133126, 249398334, 97163151, 28976647, 93047883, 40980203, 6070683, 7087396, 22556164, 205720177, 9848425, 28744496, 12630211, 34214572, 41084898, 205705475, 25684888, 10623927, 12638602, 43546271, 18325713, 84890172, 25070609, 24966605, 27429359, 6101753, 196959133, 5962401, 25210566, 197391396, 30678043, 3043125, 25859625, 197132930, 22241443, 29360711, 102016427], "other": [5236791, 98153929, 25467150, 20933675, 2154891, 11240468, 96971801, 95785473, 28444512, 37512674, 197244684, 207058160, 21895292, 196896279, 197204520, 24329502, 41728597, 209731816, 122149, 95016035, 21487550, 23379713, 197204092, 5824756, 27157261, 94114010, 101041179, 93772261, 6773576, 21443765, 12734753, 32660296, 19355615, 96978901, 16709095, 24540767, 5336365, 21315867, 97208075, 16577798, 25709245, 95237433, 26112605, 206206205, 101170748, 19288960, 93953935, 26826006, 30186149, 19560649]}}, "scaleup_1211280_39638203": {"query": "How to clarify methyl-group acquisition and regeneration of the proposed cofactor in class B radical SAM methyltransferases, including SAM\u2019s role and the source of the required reducing electron", "pos_cid": 39638203, "field": "Energy", "main": {"q_side": [31212088, 13012568, 6331408, 12436719, 29338776, 53753308, 15639699, 26230290, 5356182, 188403067, 8726993, 2803714, 12444945, 12149434, 41246836, 205221038, 195681545, 207150258, 5615528, 16966511, 11143763, 12667328, 44765257, 25523894, 41379476, 28080176, 37351663, 18972043, 24899018, 9135697, 26061179, 19470225, 12572606, 43404172, 12705734, 22008719, 5631195, 820670, 11058838, 19094636, 1306195, 769171, 13416877, 13995333, 21799243, 5190062, 25084827, 17509750, 30233047, 15411057], "pos_side": [26062080, 24541876, 45875846, 35532428, 3712328, 2434417, 18744, 24747586, 19192413, 205553201, 40663964, 6531977, 22959475, 7896503, 10013906, 2887248, 22419780, 37119871, 29700649, 5888111, 27577272, 33715417, 10288896, 19567939, 9456178, 36371468, 7459547, 26199994, 46503556, 20797685, 19247943, 33102108, 25939548, 23554688, 36044115, 566726, 205432, 42847088, 38770099, 5784379, 13964927, 7427603, 26179192, 2107997, 5690586, 1831620, 31057673, 26659170, 29794070, 25024617], "other": [5236791, 29813304, 32505471, 35092234, 35846416, 16671281, 28183649, 35503915, 35928120, 14438521, 960840, 19253006, 429228, 21013074, 13813795, 5782599, 8243006, 207046334, 7588402, 19298954, 25707047, 3755870, 41860512, 24826226, 24641708, 21374723, 219197354, 7389811, 8297800, 44865250, 28760707, 19502917, 23665141, 84990162, 8078380, 264209320, 7880352, 35952053, 19668823, 29075065, 12490587, 13981398, 11965857, 41465605, 19332148, 13335909, 29751348, 45317371, 19749523, 2699564]}}, "scaleup_15858843_4462224": {"query": "How to explain precise site selection across variable peptide sequences with conserved leading segments and determine whether a common recognition principle applies?", "pos_cid": 4462224, "field": "Energy", "main": {"q_side": [5931764, 207062553, 16025767, 7473064, 40247467, 9658992, 586476, 18844568, 558985, 43567257, 24070226, 269092554, 14605972, 2781400, 17675752, 6582, 9519118, 38934499, 30312925, 18750520, 16226275, 18874715, 14541740, 2484281, 10660564, 41256394, 205892967, 26264165, 37743424, 215530356, 24635547, 28930242, 1640870, 17319344, 18983157, 96021112, 1782931, 32505471, 32504037, 10484847, 2363215, 2825148, 15544940, 13167820, 255864793, 8078338, 4343291, 6528741, 14641081, 14169974], "pos_side": [52803345, 13163023, 1993054, 21999, 3326206, 3134085, 15416797, 17351177, 7825105, 17864165, 19153062, 13037599, 13911422, 3254703, 8249187, 5356259, 16793348, 14324970, 8003588, 1465213, 1958112, 947593, 13587939, 16665989, 205260703, 7573733, 5325924, 42702733, 17511548, 26116944, 9596904, 20182292, 9077812, 13459321, 205335796, 37051662, 5998866, 772597, 5534604, 11024423, 32161493, 23245208, 12191396, 1054541, 826344, 6510567, 13944801, 16131609, 7196133, 43108035], "other": [5749992, 263967032, 38920803, 17907953, 14705248, 1206579, 2294499, 7099158, 15105787, 25998271, 23442688, 6163478, 10241592, 6090479, 44802825, 6392172, 12062426, 6639743, 9824694, 13243387, 2378796, 1487454, 7729167, 10765559, 2145013, 9848662, 33478041, 16413989, 42133257, 18200754, 36547019, 8700838, 3008318, 2378091, 23803606, 30504225, 17116347, 33555318, 6321583, 1852159, 31649351, 14596027, 6246112, 6915079, 17522692, 23215972, 3127942, 13467994, 3248721, 35411021]}}, "scaleup_20557895_24763098": {"query": "How to achieve efficient solar hydrogen generation with effective charge separation and sufficiently favorable electronic energetics for hydrogen evolution", "pos_cid": 24763098, "field": "Energy", "main": {"q_side": [97833235, 6603652, 108563679, 96714343, 96074138, 38022532, 55520419, 19012695, 88221376, 96093762, 139241316, 206894311, 8469867, 6479459, 136027538, 8793821, 205308435, 137771118, 14051935, 73622342, 100300913, 22512759, 261827394, 20658934, 76651001, 110303387, 25068463, 21307197, 96989651, 86008324, 67802608, 94102465, 137165424, 138973196, 108456189, 38221704, 17794900, 110288475, 114514218, 97665779, 94474778, 99530220, 98714529, 21398908, 19150847, 263946854, 93167569, 16838750, 111332550, 7699189], "pos_side": [53479352, 55613251, 92606471, 93112430, 72024900, 95925829, 113482059, 220648449, 24517124, 98739229, 56573788, 136835344, 94337604, 95754074, 13654654, 93793242, 13853611, 17572498, 94061674, 16249374, 138588573, 55974151, 16006026, 95175881, 106214840, 102213003, 99337690, 32668635, 195732467, 136758136, 110095666, 46480811, 16275807, 94959983, 17681236, 56424327, 1191489, 22060221, 94956272, 100406465, 101415690, 3177428, 53321463, 21253876, 19869445, 100989576, 96398144, 99601894, 206396170, 53310862], "other": [109139920, 207202903, 128515471, 137385223, 32256939, 97962713, 14178577, 36321462, 98342783, 108758501, 28715573, 17684482, 18099023, 110719817, 264997693, 138532196, 96383239, 109338328, 35510900, 98014213, 99607701, 93594575, 54922418, 108944039, 21672393, 3708000, 11159064, 106527596, 95087361, 54796869, 94434406, 93866554, 111014322, 55071810, 39176646, 55677823, 99586493, 96182668, 96930961, 1479549, 264197809, 99456036, 98197638, 43937620, 5235682, 156041156, 93426878, 95685543, 13224842, 22756290]}}, "scaleup_17086375_2821800": {"query": "How to establish whether NFS1 interacts with MOCS3 in the cytosol of human cells", "pos_cid": 2821800, "field": "Energy", "main": {"q_side": [44405541, 26431244, 11588661, 36171459, 2081539, 25249776, 23630298, 10459117, 29654857, 27754063, 18900308, 27880755, 24481697, 10360098, 37229956, 8740339, 6874630, 37408064, 14607330, 14453240, 17548658, 20355754, 14460284, 21257264, 23459106, 36451890, 23817418, 11002542, 23058968, 1891868, 23153823, 8586840, 36418724, 7068224, 44730005, 25567958, 205251646, 19881772, 7947432, 1508916, 1414206, 21445244, 25491725, 1613854, 21243616, 37283124, 27531965, 22594359, 13026083, 44416144], "pos_side": [2916796, 13626509, 12764345, 7202386, 24681809, 12305281, 24283985, 2999397, 14855431, 8717427, 23078340, 42534113, 34388022, 7499500, 10865055, 44611052, 42221061, 619132, 3204140, 25755590, 939173, 18959364, 44555281, 6586384, 9260506, 9227239, 39080069, 39466868, 9746155, 7800852, 21988496, 11795814, 20117859, 25740557, 3565418, 2399541, 3361772, 9082842, 28263294, 81250421, 14011722, 40410073, 24200524, 39395495, 10070815, 26030338, 37006086, 14193359, 5705309, 16441852], "other": [35791430, 46424451, 3263110, 25438962, 42974995, 3197887, 205376255, 9444425, 12974701, 3373349, 6879355, 220292066, 18547413, 35035303, 22137110, 27918489, 25752466, 20421967, 14924287, 24865159, 9267825, 38292647, 19462410, 16845462, 36167098, 13933377, 10739313, 27327893, 14899654, 12319513, 34054577, 875582, 13442584, 18457850, 22828173, 23079620, 36392930, 25833417, 24290495, 25256548, 6565839, 23972261, 29998992, 219223217, 30355979, 19259971, 40277455, 8079001, 18727284, 15764487]}}, "scaleup_16074598_1708582": {"query": "How to decide when a self-interested device should provide relay services for tokens to maximize its utility over time given its token holdings, remaining relay energy budget, and network conditions", "pos_cid": 1708582, "field": "Engineering", "main": {"q_side": [6796246, 1084078, 8904500, 14977791, 14837940, 14614083, 1738596, 1878392, 14833221, 14202834, 16372175, 12372087, 11359300, 18080261, 14990978, 17823526, 374611, 18865296, 19459036, 14758283, 8374547, 1082118, 8247333, 10984780, 14215157, 6483304, 15309068, 56194, 7649097, 1190096, 8064767, 15656008, 1686687, 14221311, 15857447, 1087068, 2107963, 10234552, 1850788, 766908, 14607760, 6884064, 6547654, 5874892, 11712084, 10881617, 6892308, 7403911, 15818657, 12820922], "pos_side": [20251926, 1463567, 39334039, 29008, 16063616, 10690118, 14921766, 2794422, 7765996, 17185416, 6336192, 14151370, 35541539, 7591973, 98758062, 1288763, 16757845, 10393436, 586165, 60714, 117256061, 14561466, 6874536, 14954782, 17136563, 62481962, 14700679, 3258270, 11011275, 36805325, 16041369, 195711194, 1718682, 5933110, 11788078, 1550244, 179265, 14458192, 1541291, 17840189, 477376, 18926998, 62789683, 109978776, 15137947, 981312, 3207899, 5217520, 6098135, 4612776], "other": [14077996, 3526092, 6084423, 13341782, 13988379, 16260211, 18342896, 215825475, 55051801, 18874542, 56720, 42740281, 5073745, 28842180, 18962899, 11033681, 1748987, 6464053, 18209548, 265862284, 26129023, 12048445, 2315636, 219544, 7673264, 7537209, 4962664, 11471459, 15857368, 7956527, 15618189, 977258, 11618785, 260930987, 321393, 10335516, 8499676, 18153909, 34727276, 2987845, 2168177, 39349050, 2873698, 62215121, 2437774, 6499329, 2582389, 62519145, 9855366, 2738445]}}, "scaleup_20274866_14507452": {"query": "How to provide effective rehabilitation support for patients who struggle to relate their current orientation to an environment\u2019s spatial layout and navigate it", "pos_cid": 14507452, "field": "Engineering", "main": {"q_side": [44123539, 52205142, 1999271, 21775598, 12994069, 52980998, 6307748, 24078878, 23491985, 11411864, 13932950, 12035089, 18094826, 19688701, 1820050, 42231109, 4502899, 14769981, 53093912, 215779458, 7173338, 5900458, 16318775, 255948926, 79150830, 115100284, 149787780, 270275608, 53092326, 2319707, 53032669, 3354771, 49316369, 15917573, 15106344, 2191527, 4977033, 23333151, 16795709, 31137472, 4524039, 4472499, 17498198, 9070389, 7910951, 54750991, 25143407, 8480095, 255950395, 17066701], "pos_side": [15887069, 205504147, 16802215, 6050102, 4595552, 546111, 34488847, 7586843, 311210, 771281, 217301199, 20676108, 59603370, 51703610, 22413088, 23618218, 9972655, 14430032, 12980328, 14689272, 49297647, 52271037, 3919840, 15060089, 142744436, 22255794, 23352788, 12496033, 9227448, 1446757, 5820574, 206985254, 53030237, 23036726, 2908742, 33889635, 15674047, 152277994, 27670462, 52186695, 21371648, 14547531, 18645402, 145606329, 11887137, 21770, 2523358, 6354076, 11351923, 4867605], "other": [6727, 7436997, 9249066, 13448537, 18331978, 21666740, 41781760, 205628198, 5127064, 288397979, 13922294, 206159433, 13604957, 206485597, 30676259, 40874713, 10782288, 25551102, 3560798, 1260265, 128352618, 31546628, 19447300, 7841250, 143318892, 12540741, 49314874, 33511569, 49316240, 219185860, 9686150, 36355085, 25752791, 53109558, 11156836, 74216628, 301468, 1024624, 13867930, 18192274, 69104690, 9501805, 263976141, 44019900, 151750815, 43841268, 14870616, 7837692, 3876631, 57753630]}}, "scaleup_16622877_10445513": {"query": "How to minimize total power consumption for an unmanned aerial vehicle on a two-dimensional trajectory under uncertain departure angles, user locations, and wind speeds while respecting polygonal no-fly zones", "pos_cid": 10445513, "field": "Engineering", "main": {"q_side": [206852909, 49420690, 116000942, 55955811, 254655491, 3127276, 3514199, 2165305, 53432777, 13717469, 14554317, 10064839, 18527743, 51955232, 116290504, 21683809, 6516172, 13753036, 17658937, 34197839, 53244264, 54439494, 52195339, 54568946, 56596382, 29568223, 13060382, 237396036, 66959584, 54172823, 116884120, 11966237, 23206880, 3421394, 54621676, 13349749, 3564072, 52966469, 52238945, 52148305, 116142737, 14320175, 47021207, 23243, 13751888, 17843742, 8630510, 21719774, 52961486, 204978438], "pos_side": [9378747, 30737668, 90557450, 17073191, 57378563, 54207815, 126399752, 115903112, 117583906, 115666306, 54217588, 115740059, 84182082, 38650157, 67205801, 52147848, 53438598, 21232650, 46934230, 115042120, 110267768, 19153888, 56209986, 40881229, 2104258, 13665655, 196002501, 56895404, 53779797, 115946802, 117439483, 51969552, 77394244, 53719059, 52081870, 2723871, 117383046, 61723457, 18931752, 2062061, 61208119, 115676532, 3455811, 41266665, 60643109, 70330962, 53279243, 41145497, 116513557, 110591072], "other": [31773344, 106664910, 10220011, 109364235, 125489805, 10234135, 2296697, 7415630, 4475025, 54070079, 6334920, 109072555, 985315, 115740945, 55398843, 58357062, 131898422, 51881896, 117252190, 49731727, 52248587, 52298084, 81986790, 51889478, 51929467, 17060810, 67806254, 125181124, 35654065, 6829695, 117275103, 44825945, 110226705, 114534046, 54993687, 118770747, 7629972, 110037224, 9255487, 14199822, 26947986, 73664676, 15442404, 113603667, 18749172, 114300197, 116627114, 67206672, 58574588, 49188755]}}, "scaleup_20490912_5834217": {"query": "How to recover fractionally sampled pulse-position-modulated signals without channel knowledge in shallow-water acoustic links with severe inter-symbol interference, time-varying multipath, large delay spreads, and short channel coherence times", "pos_cid": 5834217, "field": "Engineering", "main": {"q_side": [53015926, 15727760, 119222, 110256017, 19041884, 34072973, 53105236, 57390332, 52113316, 6522380, 6873981, 513664, 3330488, 6962832, 45069978, 3748902, 17642989, 14376323, 38396216, 4956466, 28665862, 15055936, 480719, 3436048, 13716764, 49684933, 107826875, 4646094, 35116891, 18672779, 6536970, 113010116, 6548049, 3500606, 108890121, 114031158, 21704593, 110854252, 116357110, 15894988, 5317382, 52925459, 13586676, 58588108, 6213595, 50769611, 5626636, 19072234, 12599770, 17777435], "pos_side": [114642481, 28359266, 47006868, 3688274, 16772310, 32078220, 36202473, 1653979, 1451711, 17015676, 55297675, 20845020, 6912404, 265100585, 3850420, 34825128, 13007733, 54208349, 263791964, 51973937, 334036, 16332542, 27866828, 12100104, 52021779, 109316513, 88520848, 12348009, 118130054, 88504354, 39095745, 267858417, 204208472, 13970307, 2155495, 52469863, 22308317, 16597271, 805586, 8394134, 2046425, 56172734, 7546010, 26661656, 111342206, 16767841, 20167283, 51872228, 18678079, 55933279], "other": [11075508, 52198395, 3889135, 110329641, 24693735, 126231150, 232811688, 1374019, 23297778, 53306999, 7730284, 52147306, 23113407, 206393912, 23269256, 119175851, 15439622, 16555589, 1282295, 10469950, 30287404, 17744465, 44277496, 9581462, 1480920, 12287514, 52111269, 416686, 6912241, 11591533, 38478642, 111045235, 44014396, 3921134, 1549824, 110728364, 24587610, 171368, 2920997, 55136417, 120112112, 17018457, 45196029, 13944396, 52057047, 263560298, 125024436, 12582782, 757651, 13094741]}}, "scaleup_20486572_5590763": {"query": "How to estimate heart rate from a video sequence while accounting for dependencies between measurements from adjacent clips", "pos_cid": 5590763, "field": "Engineering", "main": {"q_side": [17484883, 26190016, 52291380, 39821607, 125924827, 3608315, 107554888, 19314188, 2127584, 54022287, 125748748, 24133477, 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"scaleup_3865954_20537748": {"query": "How to characterize T. circumcincta larval antigens, particularly those associated with immune suppression, and their interactions with host immunity to assess their suitability as protective vaccine targets", "pos_cid": 205377480, "field": "Environmental Science", "main": {"q_side": [20531718, 20967214, 7965191, 8303733, 17461873, 2846469, 29571220, 5570758, 12204095, 17972926, 33957290, 21771882, 6997486, 15645620, 43506089, 3078880, 89788887, 3986492, 11687076, 28044456, 11744135, 41773275, 513086, 827435, 12876282, 22035042, 390417, 15402391, 11022912, 38668183, 39364518, 17647836, 22149383, 36665164, 571641, 53570862, 3510740, 5726955, 15616165, 13801298, 82358784, 13422318, 13076085, 16559031, 28802391, 19140990, 8738560, 7204930, 18936822, 789312], "pos_side": [10604007, 3745140, 23394954, 256912657, 35092339, 9640381, 4660706, 16154680, 4729551, 15943651, 21507967, 2630284, 52803151, 14934954, 2280800, 5771979, 21437768, 952897, 8041352, 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14513358, 9473151, 81645978, 838373, 2155449, 119379796, 15823569, 16936313, 39192656, 17474604, 5678615, 18522335, 5257734, 18035291, 1701040, 10976159, 6803189, 14092190, 11358397, 12643682, 264682866, 289334053, 2252758, 15052352, 237232078, 83930411, 6915252, 17507822, 41257031]}}, "scaleup_6598661_17977055": {"query": "How to obtain ecological results that are reproducible across laboratories under stringently controlled experimental conditions", "pos_cid": 17977055, "field": "Environmental Science", "main": {"q_side": [2618297, 225068004, 12946160, 14106605, 10760934, 42464839, 7088587, 5778757, 55171908, 16690990, 10655496, 85815716, 12995737, 83806226, 42743990, 9137208, 8397919, 24285706, 51962792, 15520125, 16613079, 40675328, 53515289, 195236730, 207694476, 23335569, 19005228, 205141843, 17735744, 86295145, 273577202, 82898161, 5152319, 59260716, 11670286, 14630414, 27498024, 1587419, 145430219, 16867670, 932530, 18788681, 32287936, 85209852, 3043609, 8441875, 14200177, 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255388993, 3162875, 53574295, 11689050, 10318111, 6425032, 27297204, 72785417, 206488239, 17561078, 206879240, 1085068, 23464208, 17796252, 181395602, 209354454, 44207105, 58761365, 15626957, 23833987, 4145048, 37651526, 871981, 15647287, 38803559, 25560489, 7431841, 981932, 14778490, 24640475, 12281441, 19587395, 28290789, 143440802, 2822777, 15702002, 16103593, 6471046, 41595492, 73222219, 4241645, 14589869, 14304291, 6830267, 34378439, 8058369, 7594729, 54562474, 15314591]}}, "scaleup_23692885_6233865": {"query": "How to identify what influenced participants\u2019 diet and physical activity changes in a complex weight loss programme, while distinguishing those influences from the programme\u2019s roles and activities in participants\u2019 accounts", "pos_cid": 6233865, "field": "Health Professions", "main": {"q_side": [207185050, 10499668, 19032770, 23847924, 15810602, 11242179, 205596888, 2662567, 39490492, 16009582, 18279412, 5909348, 14830122, 16535989, 29200782, 255835319, 6305649, 145784329, 7420709, 43633291, 288379821, 29286686, 33281931, 6871033, 16787566, 25997866, 17798101, 34337839, 9384448, 23244744, 45200501, 9816695, 41020648, 56365872, 7687881, 15338000, 18121457, 6067810, 183374, 189032, 205072149, 27323615, 32955465, 16170100, 24420282, 43938850, 23588028, 16835567, 14977540, 11400564], "pos_side": [3937353, 206544547, 17173381, 19326267, 46025471, 29597071, 7105828, 11336066, 45035777, 28093507, 288291320, 1851443, 16810044, 22796241, 6397322, 14347353, 7884460, 145286646, 25232104, 24964061, 55615373, 5377829, 8961030, 6190199, 36282006, 263344660, 29517458, 31084068, 14579046, 7677261, 205847268, 7186258, 13974551, 26000666, 16294194, 25433784, 18484021, 9619946, 23673622, 9278967, 59453302, 3141481, 6387688, 22757859, 5725278, 141057008, 13362883, 2259065, 35482196, 18087913], "other": [7248278, 7852927, 11558255, 11603219, 15817140, 8298628, 205153551, 8427460, 41933716, 5696088, 10242278, 1326178, 11805124, 37886933, 244843, 6612652, 46885544, 1948923, 3693156, 206318167, 7517341, 77807051, 16146770, 30142458, 12875794, 19922897, 1938779, 7558291, 38470410, 59010968, 19378238, 32097010, 282349576, 5723342, 41083834, 25709794, 22591697, 39443016, 18134166, 206351229, 55613693, 288396683, 11682399, 36992337, 13515471, 23660286, 17481930, 282349788, 155673, 45897442]}}, "scaleup_38535768_8631455": {"query": "How to determine how water immersion affects variation in movement during common recovery exercises and whether these changes are beneficial, particularly regarding harm from repeated activity", "pos_cid": 8631455, "field": "Health Professions", "main": {"q_side": [208826405, 40209104, 57511436, 12032750, 1116710, 1533031, 19458506, 3953337, 112517420, 54692844, 16791076, 144447155, 18897621, 22339268, 18174082, 26320891, 115748855, 20843232, 49523177, 9686968, 56274408, 17965169, 22152045, 39429666, 35508192, 8832953, 53376043, 21847580, 32776536, 257697150, 19012546, 59246657, 10525422, 2738473, 143140756, 42920805, 207501740, 264515420, 205512023, 30150795, 17719172, 22079577, 16648161, 53059685, 51806846, 31410880, 56757658, 2326037, 143491341, 12957501], "pos_side": [3875599, 3674662, 288406625, 39191020, 14659047, 8161852, 2672972, 2984483, 143687095, 145350108, 21144529, 14543412, 22710204, 9157501, 2366856, 17226598, 35718619, 242646, 3691338, 145084475, 26972695, 8284338, 20212619, 7024407, 26069577, 3703462, 205176875, 24590294, 43682346, 9351343, 19476488, 145662886, 39405727, 22259907, 70366443, 41266781, 3956321, 19220260, 25673275, 1503520, 255948395, 3700049, 7783485, 6287830, 208309582, 43342772, 199623272, 2645875, 16028565, 153906273], "other": [84365779, 11897943, 18958437, 16762883, 12814936, 91543362, 25005105, 25291337, 13062731, 10503979, 41592395, 39665315, 7729579, 8919260, 6494371, 12473367, 256334415, 17821242, 55804538, 20117165, 1411344, 75269610, 53610880, 53027793, 31044687, 51899853, 7316753, 42489010, 83599685, 1141762, 17397153, 25316138, 13520268, 14666410, 16924369, 815854, 71687823, 26005072, 4937493, 141978570, 20405180, 9770175, 24075816, 16936970, 14344524, 249768766, 20953635, 22537640, 15180064, 22290709]}}, "scaleup_20470210_4835904": {"query": "How to determine which changes can improve an already established condition without causing harm when clinical evidence is sparse", "pos_cid": 4835904, "field": "Health Professions", "main": {"q_side": [19899526, 77115146, 16568766, 15675629, 79770021, 8013324, 47016425, 53221362, 206107134, 53877899, 75452000, 36429077, 10481621, 33660161, 52914944, 22412078, 39945701, 35606896, 9431419, 19153937, 16199824, 33571010, 8289435, 42478658, 26286374, 6036117, 10923263, 20708552, 30129844, 25937202, 32087183, 30795702, 17318076, 3846026, 21297844, 8936649, 41317524, 51701350, 2223623, 9390253, 14233392, 53711876, 3534440, 6989825, 44159706, 43968750, 34670405, 10157630, 4650155, 10230766], "pos_side": [1334898, 2222471, 4817722, 4966387, 18535427, 34785334, 49869411, 58623997, 67041760, 195771401, 202641582, 205612926, 206239694, 10430375, 256343341, 7105853, 24372396, 56171346, 4989781, 9211181, 54477232, 1843083, 17810415, 2835312, 205332074, 21897110, 2553897, 52114414, 25752669, 4242207, 12612366, 1307443, 5772080, 23500423, 256951420, 28352182, 4731867, 249781627, 22864123, 15259828, 24858568, 207407648, 45289073, 5987476, 3802785, 18347322, 56173390, 22551418, 21885992, 21705707], "other": [5955537, 6934182, 275934867, 53716340, 4538307, 187074, 32694150, 245152963, 27880874, 79427284, 205963356, 73475967, 286739803, 31643122, 20506506, 79044536, 5204121, 240296144, 13537637, 17828916, 53891658, 25915617, 27969751, 59427460, 10565104, 264913878, 205081197, 36027185, 207265638, 215527055, 35135727, 25753325, 5825525, 21583156, 52987274, 3972361, 51674312, 26078056, 70394093, 49591324, 13689388, 6622880, 13673832, 57689274, 88521326, 52031208, 7560868, 29215605, 6147458, 188277378]}}, "scaleup_9519814_10117932": {"query": "How to identify text-messaging features with theoretical or empirical support relevant to physical activity barriers among low-income Latino patients with diabetes", "pos_cid": 10117932, "field": "Health Professions", "main": {"q_side": [13821852, 31320, 205703692, 9803637, 12822107, 6035813, 38198847, 10032765, 4681890, 14081424, 20159312, 1381134, 4845977, 14950007, 17739330, 16090146, 21648093, 31662003, 2813684, 22196275, 20648717, 24289110, 21924785, 261291797, 2406755, 10300957, 72076801, 37029978, 5963230, 8009127, 19343232, 26949512, 206738702, 992083, 42530731, 59150527, 27347617, 447145, 13543290, 10394960, 14472275, 44207835, 953304, 2694543, 17310718, 23578839, 54793927, 9642274, 38383265, 26948432], "pos_side": [7092378, 20131552, 205433698, 40630521, 13303573, 35772844, 15663705, 12631085, 1898092, 3292642, 2818467, 41622926, 3703745, 11975397, 25396069, 42917865, 41391628, 487671, 35967601, 5510472, 2959486, 43018815, 18524245, 22846490, 8877665, 18404573, 11454835, 30166542, 32530983, 6555603, 43053383, 28542390, 14280207, 41415274, 67805333, 34594011, 19668011, 167595636, 39996676, 282500898, 45066306, 2256653, 1449688, 5095759, 24339764, 4840761, 15625369, 5174563, 8965922, 73358079], "other": [13817728, 25095479, 58383495, 30884719, 16577041, 3988356, 899964, 21503026, 697557, 25209164, 13543467, 5307172, 2460462, 31279165, 24912601, 12762609, 12848179, 17673419, 28411742, 5007151, 16738281, 12645926, 25893124, 263562500, 21108105, 288421338, 7131081, 5275462, 205514144, 205647663, 16499750, 16690410, 28519893, 21274409, 41946920, 18653177, 19094018, 19051811, 206403954, 43389486, 32827065, 145400246, 2172374, 22667971, 39229268, 37190261, 20587209, 205713342, 8435222, 29282165]}}, "scaleup_25864944_1221398": {"query": "How to determine whether applying signature character strengths is associated with better outcomes among professionals", "pos_cid": 1221398, "field": "Health Professions", "main": {"q_side": [145061596, 43819633, 27110747, 210462098, 2108951, 145601032, 37118344, 41388887, 75695394, 143533868, 15759740, 73609667, 288406603, 40500830, 46271, 145573140, 67762456, 5003981, 6219393, 142997629, 143818780, 6612531, 102340111, 157799727, 17694547, 38812858, 45455639, 147238040, 146303833, 2864086, 2532933, 20570212, 151775996, 844271, 255896994, 134944709, 143857361, 5707103, 54924466, 5749487, 207046989, 143896350, 8473610, 59377348, 152081040, 286663839, 8714090, 145554577, 1384997, 135305838], "pos_side": [4223965, 10925591, 19126397, 1239647, 145404206, 144356088, 205561620, 23664950, 3741712, 42874020, 13785733, 3740607, 16528010, 148183061, 28758465, 255758049, 143892229, 54680482, 73370227, 154551533, 145656394, 42214872, 20949240, 154871206, 11897754, 38485972, 39614180, 7513540, 146715145, 3328496, 24955039, 16970516, 71304898, 14003628, 4092072, 153808422, 255755261, 3291748, 18634648, 149348896, 33087168, 141890403, 23570228, 78827630, 21089358, 4947918, 73657562, 6892310, 145337245, 54993675], "other": [9854467, 18736678, 276324593, 251375666, 149806407, 231894867, 231893417, 6829966, 215769352, 55374959, 21917363, 242735899, 34536321, 19988560, 254582373, 59270434, 997754, 88518369, 15793236, 15079984, 6787055, 141361575, 255834686, 110736250, 5367848, 36193083, 110051568, 1094700, 10941353, 208943769, 9712099, 186019588, 143368165, 221650207, 16871941, 52856747, 20168718, 220417636, 10149737, 255833132, 23108335, 192891476, 4701223, 20978834, 5149868, 9765710, 16633126, 62232664, 1254239, 1980699]}}, "scaleup_8419776_11037018": {"query": "How to independently establish whether relationship counts, connection patterns, and rankings of central elements are robust rather than dependent on a single approach?", "pos_cid": 11037018, "field": "Immunology and Microbiology", "main": {"q_side": [9425418, 255976760, 2832376, 45440653, 6103127, 219197692, 13105833, 4630606, 22479851, 23234643, 219197444, 12676050, 55824136, 32060058, 16107623, 13722476, 15951248, 5472916, 25354654, 109568, 2018236, 35631839, 6834865, 1128333, 6716495, 145234949, 3126192, 45147828, 7868158, 205668429, 20307426, 129742822, 288403723, 10030018, 118694605, 14008355, 18554071, 17045463, 9598146, 1948390, 2660165, 22971007, 13952954, 13913879, 14463557, 5788786, 11016167, 16497597, 13775563, 1116998], "pos_side": [7985042, 205926681, 6875114, 1562830, 7572436, 98203071, 13951704, 119374288, 10590459, 17957855, 17359379, 43409413, 3867824, 6259189, 19050866, 8066142, 985125, 260534794, 55623693, 15776206, 37139128, 9744690, 7140076, 119352722, 2275946, 17097764, 8335204, 119651716, 14017051, 11434330, 88518355, 119382955, 25551722, 8424224, 5738156, 7595072, 17750513, 9626144, 249911972, 15647430, 4868353, 27239335, 18183473, 9865194, 16362732, 14087920, 2942868, 13263352, 1549225, 142661348], "other": [89317, 3121979, 7122053, 7996292, 20250381, 115230253, 207424159, 1940997, 88520914, 143217895, 122732844, 300332, 20771581, 61204558, 6869221, 16762945, 11923525, 13951796, 6152601, 27836105, 16373372, 14051819, 5937952, 13515471, 122706599, 11862719, 16164741, 1385274, 2101324, 147999394, 153778862, 43129331, 6599037, 15243780, 253715038, 14254797, 14278965, 10138779, 5319757, 17665667, 272555101, 145392072, 6382866, 10004354, 146700808, 204934452, 14231736, 32948041, 14117994, 17394321]}}, "scaleup_20117835_7686073": {"query": "How to identify the sources of background hydroxylamine oxidation in the absence of ceruloplasmin to avoid misleading free radical detection and quantification", "pos_cid": 7686073, "field": "Immunology and Microbiology", "main": {"q_side": [8999298, 39667389, 7727183, 1118604, 10133214, 9979834, 20757491, 2383568, 24764855, 30176189, 19182602, 1627821, 6263282, 42522346, 84070230, 7803564, 104226587, 12545757, 24264576, 20672929, 15051292, 29527502, 110780, 31860433, 28343740, 35396769, 12851899, 21177655, 7748046, 24998564, 7508253, 20699924, 20716476, 5942877, 15909847, 20605446, 23610244, 36999581, 29379496, 37603705, 14468909, 26204336, 25891944, 46194473, 30068168, 38732982, 28006690, 27534164, 54728450, 85341674], "pos_side": [16787696, 29001819, 1229040, 205647379, 3542007, 30307358, 25426971, 8771279, 5768180, 13706067, 42105135, 39375728, 41347612, 2335698, 26720507, 31923488, 22246249, 39994808, 36892658, 73719039, 2373360, 5998235, 663884, 27468359, 17575517, 54971244, 13778870, 22455683, 23680973, 29503876, 45263490, 35564072, 13545674, 13319132, 22835548, 84221517, 23382956, 3223821, 58250044, 36373360, 43515891, 22103215, 9588033, 27949413, 6126203, 15002510, 19844242, 34669040, 32971234, 12345064], "other": [2732603, 12029120, 28135154, 97116240, 8745272, 41924955, 265938067, 83803775, 52803733, 10506933, 6737792, 8401247, 95150628, 21896395, 27784740, 23249733, 23922122, 24812906, 18956445, 24531519, 35342680, 36456353, 95787864, 18386243, 555979, 86463, 8898123, 22257152, 2602832, 28747800, 1861088, 10511319, 10013823, 29204393, 28449092, 11262818, 18054730, 35630703, 29535735, 93180518, 56387140, 115968259, 19263700, 11271307, 24008623, 22400419, 10365743, 25404501, 2110447, 31628654]}}, "scaleup_3530255_3909981": {"query": "How to clarify the relationship between activating c-type lectin receptor expression and capacities for phagocytosis, reactive oxygen species production, and inflammatory cytokine release among monocyte subsets in pathogen responses", "pos_cid": 3909981, "field": "Immunology and Microbiology", "main": {"q_side": [206575733, 88807455, 12635590, 18964964, 5239968, 9486357, 6636177, 19502060, 13915710, 40314115, 14950864, 21162057, 40221318, 13718110, 17743758, 29830339, 20869949, 29869146, 7948010, 2510080, 3054683, 13950117, 17678483, 13915612, 17670, 10074108, 46001197, 38673084, 32253003, 33876198, 14948798, 38921750, 32922003, 205402043, 9729843, 27341664, 37969690, 206256087, 32757379, 21128454, 3958825, 30679584, 205416722, 12563532, 39144631, 17629465, 24188456, 26472245, 31272456, 256372425], "pos_side": [5315220, 16207168, 32958316, 31295693, 43377006, 86035821, 30490313, 31293531, 11517632, 26719078, 2137819, 15719834, 6057448, 14641211, 27425249, 75623784, 35366082, 17719173, 9279012, 14600643, 9596985, 46701999, 12631788, 35123090, 43498754, 296708, 207420758, 40046013, 19397811, 2655808, 25899806, 37154841, 1895853, 6578095, 16065814, 15337022, 1636040, 23555668, 207428044, 4014762, 22412114, 1928179, 5769004, 17399272, 13940161, 26108684, 34205491, 237221333, 15041829, 21867450], "other": [309629, 7790679, 25467664, 86004278, 7178645, 25965127, 9763343, 29290449, 26063360, 21390792, 10044003, 10847238, 40395496, 25864564, 12330896, 32038873, 6317395, 21502407, 83984241, 7669945, 25655227, 4003980, 10966647, 19103988, 25396949, 12458079, 18311703, 2079326, 24372148, 40146152, 37098240, 9301200, 41060105, 6967464, 32286745, 15760157, 255870128, 10876917, 13599475, 20376961, 24629458, 23966834, 12791246, 24567771, 23432547, 24994972, 254017, 17210926, 12377870, 13781232]}}, "scaleup_20864649_11608684": {"query": "How to distinguish subgroups with similar profiles in heterogeneous datasets at an appropriate granularity for each dataset despite differences in coverage and heterogeneity", "pos_cid": 11608684, "field": "Immunology and Microbiology", "main": {"q_side": [18380462, 1602301, 53226023, 3837967, 19117799, 46788091, 15575170, 3784273, 6965344, 4918072, 21966701, 206819028, 7928971, 8655790, 40770162, 34880692, 80952376, 18868303, 24197204, 17927013, 4396429, 4891452, 3729853, 1559762, 19051478, 14285076, 2378672, 56480957, 49276892, 26580193, 25173715, 6830184, 7223026, 54216118, 20736314, 1768764, 2741420, 12444771, 35223533, 39481230, 7199977, 26118048, 4639930, 6408328, 51703259, 39891058, 1917069, 9675087, 13211450, 2970659], "pos_side": [32294061, 205254936, 18289475, 16063526, 11768282, 6897893, 4008923, 49407109, 52278448, 316616, 17831299, 43903390, 1325239, 8725164, 5160719, 205572802, 17648865, 3287632, 4922527, 7300513, 3657338, 255795230, 2905351, 23292092, 16272618, 260437848, 37196037, 26629755, 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determine whether NLRP12 is required across dendritic cell subsets to support CD4+ T cell responses", "pos_cid": 11594230, "field": "Immunology and Microbiology", "main": {"q_side": [7051348, 379100, 32996033, 20151287, 12532297, 12645848, 16197910, 44936006, 5657104, 7276330, 15435343, 10221638, 12332129, 41140842, 22889289, 13766682, 21596245, 12185002, 17223891, 33771138, 37006772, 9123337, 7275627, 23552356, 8334325, 14920452, 18925255, 25030966, 5936757, 10438327, 8019138, 262911688, 3891693, 2596802, 9088864, 206210230, 5817492, 8835737, 34596063, 6554754, 9762452, 428882, 38445890, 205400645, 6834955, 15997735, 25038940, 25007687, 896196, 21449805], "pos_side": [382671, 1906838, 4392461, 12019629, 14609013, 15559936, 18659503, 24233927, 27759637, 38294989, 195684393, 205411304, 207426420, 22793709, 205323080, 18481577, 163667, 18387801, 250083601, 24858037, 41795535, 14978337, 10068076, 24584329, 11581305, 11521133, 641119, 6744488, 24194738, 28577592, 42020382, 44746680, 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function families and parameter ranges are positive semidefinite for a chosen distance metric on graphs with continuous edges, including graphs with cycles", "pos_cid": 88518595, "field": "Mathematics", "main": {"q_side": [12335514, 88512889, 119149979, 1502473, 11212853, 88518156, 9642411, 215753780, 8124753, 119628931, 2607135, 57380182, 255344615, 88520051, 62827585, 15957757, 13410523, 9446523, 88519778, 119319430, 12061958, 5707629, 16207262, 16856182, 55819294, 14583642, 118290739, 5308256, 42577708, 91184250, 88521270, 10665756, 11015251, 119652180, 14031290, 119322350, 17916219, 16122357, 4640074, 15469455, 49678341, 2454361, 17892822, 119252229, 29581551, 9716414, 7514635, 84614833, 115162786, 122046256], "pos_side": [441755, 88521665, 11536749, 3671764, 119302079, 270079, 116944075, 88514691, 17085932, 2489413, 16497317, 35738127, 53388968, 2109439, 22390766, 861166, 41670242, 1022143, 15726449, 38602476, 121700346, 88513851, 119658845, 120927953, 40916415, 17702820, 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cellular sensitivity to STAT5 inhibition", "pos_cid": 31845893, "field": "Medicine", "main": {"q_side": [2290683, 15510044, 18978457, 2177298, 194853, 23201372, 39292516, 32018739, 854083, 2455998, 3633087, 43775451, 12832771, 6193266, 4736138, 1489815, 16414020, 22582325, 11238337, 4643651, 15689515, 20230258, 41206456, 16188182, 16883148, 8221889, 16553202, 22011603, 4328917, 13489040, 8121750, 15694255, 25695455, 10330683, 78505, 18492821, 12268570, 23928670, 2548894, 29957780, 21789083, 37387281, 24958069, 18787202, 13397313, 15047001, 10401735, 14539605, 14939505, 18134285], "pos_side": [1530528, 2192583, 6923456, 24129968, 195680665, 1336838, 10786156, 11731472, 1300894, 41557497, 5426992, 9760866, 925885, 600593, 205485673, 16518630, 261257519, 12965744, 9973140, 39914707, 12714124, 25027313, 12727640, 20574739, 4782560, 24346083, 244687, 22672600, 3949453, 18683277, 7821552, 32706446, 55720337, 1650932, 1048404, 11748715, 32783365, 12816125, 21556756, 47222458, 23130057, 15252426, 88138567, 5669386, 26563210, 84022640, 21005513, 32451504, 30800375, 17433642], "other": [5514689, 4797654, 7693302, 18459521, 31062367, 16243518, 22133576, 25434905, 18617995, 294909, 16204254, 32045917, 17451952, 14847461, 21451608, 14794854, 3496253, 14519960, 36366164, 12341807, 24456155, 82511932, 19173022, 34644638, 13035890, 256938775, 38379440, 6376780, 8622800, 15041666, 20886767, 14183759, 36830440, 38452380, 17176341, 20591529, 45673997, 13910491, 19244159, 14499974, 22628378, 18322091, 205338797, 16305880, 14951539, 30994667, 11777299, 205251646, 22963200, 1460405]}}, "scaleup_20822924_4545918": {"query": "How to reliably determine the number of protein molecules represented in filtered data when protein amounts are very small", "pos_cid": 4545918, "field": "Medicine", "main": {"q_side": [12080499, 2391865, 554245, 16011873, 12947945, 36402562, 207170809, 17905772, 14373660, 46882559, 21474987, 29046542, 7096279, 24194881, 18493205, 3432815, 13551918, 16685095, 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10060919, 11257761, 36271027, 13223729, 39922710, 46924432, 16137289, 599597, 528107, 1941985, 6681967, 3799106, 25530666, 207049469, 4794129, 13631159, 2705837, 205817224, 17782021, 17556944, 8599458, 7703349, 37435994, 2368868, 2311848, 204899313, 2299487, 11178984, 35895093, 14204831, 46662757]}}, "scaleup_11994599_7256297": {"query": "How to determine whether one factor directly controls another\u2019s production and which associated elements support that control", "pos_cid": 7256297, "field": "Medicine", "main": {"q_side": [13324418, 2859553, 2732984, 31208430, 19326475, 39068965, 84017520, 36629837, 36780138, 3654718, 30752669, 8083401, 18186546, 125951, 29333727, 220010936, 76699628, 6646152, 10777591, 23301585, 286531314, 1034791, 40571172, 9681598, 255326761, 556741, 43377480, 141738738, 15775419, 25584698, 3631073, 16513059, 205495323, 205345729, 4544185, 7679946, 207360401, 12268929, 29240583, 77678939, 10743747, 19750873, 23696438, 81634, 8062559, 15159630, 85284615, 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13008648, 148616228, 13842836, 39097660, 119098496]}}, "scaleup_13689796_15701711": {"query": "How to understand the origins of solitary fibrous tumors and develop effective treatments for advanced disease resistant to chemotherapy", "pos_cid": 15701711, "field": "Medicine", "main": {"q_side": [46562788, 288260656, 38622251, 11585435, 27468732, 1441146, 16301183, 23869262, 9784187, 205734137, 24074356, 7496732, 12590329, 9049974, 14138047, 13145365, 40320217, 16899603, 16923251, 23915472, 15991389, 26946427, 337829, 40247195, 45769650, 77400456, 10849602, 13004978, 23511060, 38881723, 908982, 72109178, 12639711, 46547786, 45844126, 32227824, 20954421, 24220577, 18154608, 9964074, 71623935, 24049676, 28390244, 42242369, 13674320, 5561552, 21949882, 39489911, 14670226, 39284463], "pos_side": [6460316, 6688341, 255802866, 2148568, 34051848, 1294289, 14736669, 2800666, 58494990, 27406062, 3246590, 16493938, 9618963, 803650, 5922537, 11737585, 11993982, 8797550, 15518663, 16619162, 1641570, 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quiescence", "pos_cid": 4460649, "field": "Medicine", "main": {"q_side": [38837777, 18525093, 15625950, 1795047, 7157034, 1735979, 22658608, 8078697, 12279100, 23999477, 15931492, 26067725, 207463557, 14888572, 4606896, 27131773, 4389819, 13870366, 31387437, 13516561, 24479798, 263497257, 2959792, 2358103, 90062, 28323848, 22055166, 24815111, 23955587, 8870256, 17704361, 15301289, 8723859, 79883960, 16914210, 14285374, 14540897, 45439567, 1533081, 12837322, 13771318, 11124081, 1945659, 2697738, 14632446, 6498841, 1234078, 24414733, 6359806, 4938098], "pos_side": [10607864, 30100378, 17681747, 1792268, 3172929, 8192854, 85314887, 206748959, 31874513, 6781749, 1896357, 9351915, 7612939, 29979318, 14263610, 32967958, 3403573, 9205608, 15283257, 256092970, 11763221, 15723188, 19170667, 6505188, 24937861, 15274894, 208546463, 205247885, 17131717, 17321241, 7887780, 15142083, 34521998, 46123243, 16723987, 8896769, 205243771, 758694, 2221244, 14395875, 45309328, 5770528, 82715571, 7189182, 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19963254, 20008121, 2804208, 44303190, 28794147, 24610049, 28414628, 43868974, 5409501, 43518607, 34505065, 19628248, 5850371, 23274554, 22505513, 42096798, 11050880, 29988797, 28956567, 12794233, 1347962, 5699629, 22424691, 90050113, 13045874, 24749100, 22703364, 28445046, 23810042, 23698471, 25168947], "pos_side": [5403286, 24892595, 41285936, 83554501, 7307019, 24203332, 2116704, 33893510, 7511604, 37102802, 8167468, 205359501, 21576783, 205352982, 39627191, 21424701, 56389726, 25591848, 19786366, 10833938, 83774705, 21184028, 260461812, 3690229, 2556339, 24330806, 2328126, 40001341, 1974557, 20752047, 219200960, 8594564, 40182866, 41126250, 6891841, 6319844, 18770289, 694979, 43775260, 21238132, 7432746, 9277494, 25605856, 22635085, 21009437, 6754604, 34743119, 17761542, 39601347, 38807976], "other": [258942, 429678, 831926, 1041276, 1603834, 2797131, 3075301, 3214416, 6164727, 6700404, 7399948, 7869275, 8228346, 8948175, 10729349, 11271842, 13783140, 14011584, 14753714, 17977683, 19046723, 20319910, 28810126, 32961671, 37455693, 37996509, 38290464, 46768532, 263357769, 24291349, 40703618, 25134277, 22913259, 5815779, 24673734, 42224063, 33655165, 25288775, 34140844, 19731788, 9380228, 25181542, 40054625, 13926691, 23230383, 27644489, 12262261, 23185152, 27906547, 36849584]}}, "scaleup_9887907_23959790": {"query": "How to clarify the relationship between GLP-1, satiety, and sensitivity to food reward", "pos_cid": 23959790, "field": "Neuroscience", "main": {"q_side": [8127204, 24710850, 31951195, 985877, 8355486, 669250, 3692329, 8160909, 11130186, 2402642, 207458733, 12044604, 7522753, 205307453, 16874331, 6649763, 38260641, 3263069, 22317280, 9308069, 3207040, 10205130, 5322014, 16264567, 37619543, 12545036, 10000510, 19492308, 1884308, 13219275, 3711578, 138867, 3554971, 10365403, 206331159, 17060230, 4769057, 5299962, 33537035, 1731646, 14409879, 12674547, 3456138, 205495871, 1449445, 5406260, 1983863, 20769005, 41856023, 14188550], "pos_side": [11021486, 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{"query": "How to predict cognitive performance while accounting for regional influences on brain-wide information flow and brain-state transitions and individual differences in neural coding and circuit function", "pos_cid": 4494981, "field": "Neuroscience", "main": {"q_side": [13494757, 3602003, 5007503, 1274939, 46494413, 13481757, 255061293, 122734605, 34962846, 3242145, 11068081, 21885888, 46122443, 6625155, 51629404, 5469520, 51708760, 5160824, 515826, 39765889, 14647358, 1483913, 1616521, 25287954, 19032158, 16225969, 726365, 24894291, 2273927, 13975406, 11685874, 15012732, 14728499, 10419390, 264607572, 16457422, 10683669, 5992727, 2332150, 12022399, 51974309, 6891902, 17862402, 17001708, 16799765, 7181118, 7826479, 20710866, 208794025, 14611524], "pos_side": [18335226, 3754216, 14294685, 6872387, 466351, 7823360, 15717919, 17490262, 38738579, 18690952, 27941922, 8212761, 3534727, 13155234, 15797585, 8014879, 25350225, 13558043, 36303565, 1290258, 186983, 5223201, 55142824, 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limit acrylamide formation and reduce rapid starch digestibility in baked starchy foods?", "pos_cid": 41258858, "field": "Nursing", "main": {"q_side": [8214079, 290574886, 102284249, 12773814, 55809584, 2684310, 90279127, 15135699, 44141061, 52095335, 31974717, 11921140, 9700837, 49015128, 7848853, 104111431, 104201434, 11676879, 17737705, 84699986, 289067214, 2165428, 52080037, 661817, 26586279, 26544904, 85369228, 22856886, 8813354, 55859995, 67826622, 44132507, 24925556, 67822249, 49419849, 31921860, 5925296, 23983167, 21751645, 52965428, 205444162, 84338340, 2860286, 566074, 15690226, 51188276, 35867402, 9664271, 103511010, 196586785], "pos_side": [13658400, 89354020, 12406606, 51789283, 73687258, 14287725, 83749400, 4351904, 84349052, 53228683, 58332043, 46948634, 86531748, 12106692, 98202665, 103076789, 41396401, 88180970, 29168264, 13711526, 103712204, 10135232, 25462985, 26058039, 89976284, 6933404, 98201437, 17751073, 91263956, 55799608, 99206510, 221421989, 52058075, 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23379321, 26539426, 28562894, 30381339, 38016393, 43586156, 1910361, 8572147, 87561159, 22156229, 1819219, 31986234, 205528491, 86336, 8414118, 14382050, 15556402, 23409239, 21794922, 15069870, 24632908, 35943136, 15701654, 5971411, 276854161, 8086920, 43398303, 28929244, 15894046, 15712986, 19849508, 6787949, 44999901, 1217938, 218629294, 15572473, 24057762, 7155885, 40938410, 17397419]}}, "scaleup_2965729_8698458": {"query": "How to determine whether calmodulin bound to iron-free lactoferrin occupies a single state or a range of different states", "pos_cid": 8698458, "field": "Nursing", "main": {"q_side": [86702135, 43857118, 10877002, 73264471, 9020099, 12851822, 84378176, 31418107, 12741097, 7040127, 84232351, 25002970, 14186590, 18084635, 9081644, 18700619, 23154510, 23339070, 41181761, 25791210, 85789629, 25493230, 663127, 1611648, 6993392, 8536007, 1058531, 15941131, 27799707, 38200692, 26697582, 7575547, 20197685, 733699, 26176191, 19595266, 54872096, 11364047, 38523149, 8491630, 25518768, 30209619, 255969, 31334054, 23090324, 24659525, 6576978, 22747491, 46315255, 6162018], "pos_side": [23121985, 45783694, 23230269, 23638835, 22891850, 7052072, 21602107, 39886257, 23691332, 34213892, 2555791, 36220859, 7874126, 42164896, 41726903, 44589199, 2353187, 24230022, 9068460, 13542051, 84172900, 23873800, 261397689, 19442739, 38110006, 39451149, 24072075, 23958863, 45312902, 9275630, 39481446, 24238624, 22982548, 205296290, 1838230, 39114997, 31570445, 23509539, 10126960, 25497421, 31591279, 23109060, 37911322, 45031958, 2735389, 25529984, 14229114, 33256904, 18503403, 41444984], "other": [1026963, 2577749, 11104973, 21769884, 22865982, 25841901, 38383946, 41020147, 46138591, 1885302, 2126873, 24260055, 12228251, 43876095, 20548882, 42533513, 29611649, 22782982, 26444241, 8159213, 20564831, 26928748, 25217041, 10579072, 22694994, 25633158, 7781961, 10292447, 14810670, 24322816, 11507433, 32433764, 2697108, 44950843, 38282502, 12735456, 25394359, 35194533, 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16537982, 14729522, 88617005, 33190, 1791004, 11564597, 1917332, 11733340, 52810019, 42470980, 19581902, 27039077, 16978653, 18276572, 28320628, 12135709, 1348043, 6065982, 83941870, 34138412, 9880184, 207544037, 9538582, 27565332, 14095974, 17883089, 7905045, 3210652, 20102500, 16926063, 8626444, 14556657, 25584557], "other": [3623244, 36431596, 129865959, 10140211, 37549547, 85419, 23482157, 11497800, 13106233, 22496217, 15102102, 28556072, 38542135, 249761343, 4435055, 25941563, 11293440, 32361090, 23980989, 28785505, 12163679, 96447941, 46728169, 9220489, 33204665, 82946896, 22335638, 15916193, 38822535, 10910670, 45650128, 68770442, 288373175, 5351178, 3910399, 4266037, 14062271, 7402659, 8605572, 255459677, 74312192, 16749753, 11709844, 72090346, 8664033, 13558696, 249789260, 2489792, 20608987, 16496828]}}, "scaleup_3790872_37321809": {"query": "How to identify reliable indicators for early prediction of cisplatin resistance despite inconsistent detection of cisplatin-induced damage", "pos_cid": 37321809, "field": "Nursing", "main": {"q_side": [2986182, 3088135, 25679825, 7949781, 6559599, 2780073, 24991263, 27517888, 31293778, 19634333, 14845351, 4946364, 37678149, 24904241, 2116426, 41878955, 12349330, 15457057, 20989531, 386407, 27532519, 37263158, 16106740, 45319025, 9464298, 10393658, 4684891, 15449359, 14527666, 7953581, 38590598, 16241914, 189865886, 255835686, 10403496, 72342634, 26754614, 13705419, 11307759, 8976724, 11598165, 2815916, 38251886, 12463534, 19817276, 55532808, 240049, 17438438, 53646507, 15693723], "pos_side": [13041049, 1017459, 20798474, 31894788, 35991502, 29019735, 55756862, 22856996, 12377798, 2048169, 5219, 287833060, 26507634, 25797760, 8057665, 26083023, 15087977, 29850392, 1087088, 254080, 23134819, 11404220, 17079692, 54486680, 16550569, 25734386, 31600101, 35366005, 17214468, 14384371, 5971234, 3064099, 16631654, 5921138, 1679860, 5990166, 21558444, 9186986, 18613863, 9474612, 23229581, 38671838, 34877403, 36505211, 33042375, 21292762, 255859502, 15981736, 206686286, 40249855], "other": [5541503, 25576300, 6261365, 15861041, 31276231, 5225600, 53900509, 1336377, 11062563, 18222500, 88666650, 11508936, 17851908, 8809274, 7705633, 38582693, 17910011, 25735867, 17439957, 1070055, 22188377, 2816596, 10848933, 6829726, 856562, 7216535, 10398058, 10759286, 31427103, 25789047, 8468655, 196438465, 14637305, 23318266, 19474876, 15722589, 35073659, 38107334, 8682002, 267551402, 2180946, 23646196, 2985510, 25530157, 17444962, 36916737, 25088018, 3205628, 19704530, 74339013]}}, "scaleup_20183547_19798624": {"query": "How to establish strong clinical evidence on whether omega-3 fatty acids provide reliable psychiatric benefits despite variation in trial populations, supplements, and outcomes and methodological shortcomings", "pos_cid": 19798624, "field": "Nursing", "main": {"q_side": [20349142, 19704051, 232528970, 68184716, 13621049, 8355407, 208421519, 2997261, 4251140, 16172805, 34559277, 19695803, 15146666, 15655720, 52811625, 260567313, 207435046, 85866369, 9016536, 31460066, 12538538, 72810748, 4479108, 14209733, 8605572, 32465484, 6201427, 1325749, 17424192, 1592958, 87289226, 32514568, 21131534, 4793316, 44639620, 12147204, 87910836, 46403897, 51724068, 92393211, 16425254, 10688669, 13978179, 2917589, 8720728, 14787387, 669041, 30173493, 14262062, 3012352], "pos_side": [14279063, 209406721, 138830, 52930666, 7401343, 17144430, 144206337, 1076581, 8678566, 274546692, 15174537, 14319623, 80228448, 72348932, 13796274, 9358091, 2880958, 1182396, 1396658, 206344212, 58588615, 70547296, 16820175, 33772872, 24633866, 1180708, 20897316, 16940271, 13079956, 8568034, 6686243, 1114778, 8965641, 24854745, 17329134, 3143117, 42609735, 4518415, 22641570, 72965825, 11409721, 18464807, 6518606, 25606398, 205844242, 38639787, 6338594, 1607480, 14316165, 3354337], "other": [20202019, 42950896, 44929190, 53042452, 78083282, 3478510, 92783738, 4008951, 32120142, 35926950, 5092464, 38412446, 8463319, 889799, 24592026, 53631818, 51604566, 430551, 10225407, 28563188, 38011922, 15634221, 4857529, 10866301, 4652402, 56551724, 17691243, 207483061, 237949195, 51922886, 3894101, 9845335, 46053190, 2703062, 3970932, 4456649, 18360951, 5597403, 70769518, 9845604, 52310481, 80569552, 2303722, 1791004, 10641307, 16554816, 80127933, 15522415, 249785850, 92802585]}}, "scaleup_7594921_33813689": {"query": "How to explain changes in lactoferrin binding to S. pneumoniae and P. aeruginosa over lactation", "pos_cid": 33813689, "field": "Nursing", "main": {"q_side": [31334054, 44101140, 25002970, 11694893, 17113655, 3736448, 25170461, 22021857, 8268083, 2993395, 4501935, 19851804, 25631728, 195691940, 82755261, 14844070, 94306493, 85932320, 11481620, 40571490, 2172630, 15401411, 176371, 16883254, 23290040, 84665328, 35521472, 20336893, 12112660, 9081644, 23116659, 15900688, 237628, 24422959, 14598659, 44638495, 15641394, 6002773, 84494231, 23356693, 205508889, 43362098, 71893900, 28425465, 38624960, 1058531, 207339424, 1858487, 24548723, 24696141], "pos_side": [37196734, 636268, 14668122, 11977565, 28490175, 14418325, 11359156, 19016916, 18404986, 6129061, 8758171, 1512647, 392246, 96560303, 16463426, 3158705, 17072100, 3735784, 343037, 26308439, 26262832, 10409550, 31516586, 6320823, 23459032, 13010139, 5510663, 25570508, 13859492, 16849255, 20181007, 19877683, 25780962, 26035229, 571821, 1970340, 22675002, 40908272, 45870770, 699375, 8707761, 15996670, 19116190, 45522076, 17330674, 499861, 21357727, 23492890, 42053928, 12331071], "other": [4487505, 22770909, 12277145, 12888830, 73303112, 19481163, 1317014, 17270378, 9137511, 12527126, 9571303, 42014351, 34070678, 24800103, 3420654, 28097111, 682567, 84659558, 86062667, 14141381, 18567376, 10678333, 2718709, 23890021, 73295715, 47417747, 22778338, 19504633, 15784022, 4159166, 30937106, 207058883, 255857297, 84956045, 16775727, 12503974, 24941556, 9728612, 5336513, 45499495, 227762441, 20604692, 19563264, 84278396, 13685000, 24871063, 74401415, 32026124, 11227739, 6210885]}}, "scaleup_5683120_19680915": {"query": "How to identify the causes of variation in rice grain mineral concentrations across diverse rice types while avoiding false associations due to group differences", "pos_cid": 19680915, "field": "Nursing", "main": {"q_side": [1631685, 9931189, 18126060, 84053769, 137421423, 85065956, 44099326, 8281246, 85716119, 84298952, 88109447, 54018012, 84982227, 38485932, 46327748, 51747940, 14759011, 86522094, 128556790, 3094630, 11544824, 262576338, 9026008, 59358456, 8301893, 86589039, 15374007, 84910126, 26908475, 84701628, 59480638, 86546372, 21901943, 54761014, 5826144, 54658218, 53486940, 12843935, 254940925, 15807472, 98112591, 84642932, 97468352, 35053894, 97412943, 4605269, 84616061, 37045418, 84509645, 52248290], "pos_side": [7258491, 41953899, 1232518, 87270493, 56233249, 84426875, 86530325, 86245802, 18037911, 83744232, 56124892, 34077395, 23881650, 16406434, 54202719, 91113018, 153585048, 83950589, 55072159, 86229100, 131363903, 23601948, 9843960, 54588138, 263571511, 12533206, 83553629, 84257425, 87425246, 32634920, 15355319, 1654385, 89070166, 85450543, 128809244, 85741159, 263571514, 116196271, 86569485, 18695869, 88665589, 86303341, 6565873, 31148525, 84956502, 17019797, 55910004, 264502529, 87014670, 84492768], "other": [838435, 17905769, 46226256, 128891134, 84020252, 82988516, 3182640, 53330102, 84697275, 15184080, 43179182, 44212354, 88151669, 55743275, 84779771, 92221536, 111949489, 280732771, 21936322, 84678617, 87355683, 87528350, 83417606, 87483257, 95240233, 89690470, 85141832, 127943045, 94205517, 97352701, 84838913, 84780394, 85014266, 131425994, 73635134, 87849088, 13690992, 87465398, 56570984, 52247197, 86199929, 129864485, 3163624, 14767333, 45362695, 86652836, 83697163, 87411589, 94394914, 86821058]}}, "scaleup_51905790_5622325": {"query": "How to assess the food-resource potential of raw and extruded Prosopis laevigata seed flour", "pos_cid": 5622325, "field": "Nursing", "main": {"q_side": [43835244, 85385810, 94004120, 248844902, 59365625, 55033357, 26658152, 39125519, 7035360, 82749627, 87666024, 21220154, 33408798, 62824882, 67844893, 87677376, 55842759, 14711165, 30528223, 136847408, 11952613, 212498010, 18385748, 55041481, 86749886, 24243037, 54933090, 17255857, 494998, 43403153, 1495993, 84715811, 137310321, 44382875, 83178726, 256074170, 41146868, 5220252, 55782625, 84527547, 9666743, 89579469, 84295418, 55854076, 59486225, 1897439, 8769466, 82794401, 4909374, 38093963], "pos_side": [55238280, 88039107, 17794043, 84209379, 15875208, 19056720, 62775989, 53129157, 8906977, 53582658, 84047468, 9939059, 167870464, 89108995, 58915887, 35914424, 54193007, 86198820, 86621577, 52992280, 52866281, 87055576, 103796621, 53142738, 55298330, 89816006, 53677540, 3715375, 55285227, 1888473, 27819116, 55992712, 99370350, 5585228, 88599673, 95147267, 96426911, 2210957, 52032631, 9778289, 83675843, 101333065, 3832937, 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11858522, 14640194, 16271258, 15501836, 16371415, 12216721, 16675658, 10605038, 10603728, 8633651], "pos_side": [719093, 6179902, 32978877, 8448665, 1729196, 2110277, 13949369, 17614216, 42821748, 53915815, 207055025, 8006046, 8377131, 255862290, 12758042, 14397901, 24073467, 9578156, 72776897, 27751508, 16531492, 44715680, 249770820, 1545896, 24860411, 17931575, 394360, 25004021, 34094211, 15069925, 31215832, 34787371, 39135131, 15178175, 14952338, 11457271, 3010265, 10844640, 41243498, 22495792, 26095037, 1107084, 13246464, 35854544, 8619769, 27985721, 23894492, 8980294, 45545339, 1440794], "other": [295204, 18809112, 207634647, 17605685, 6885317, 15384453, 15614323, 4575338, 29336445, 3736505, 1071291, 46181994, 8394514, 25832908, 25600491, 17900357, 6432572, 28884637, 25472899, 18932343, 34166624, 27967535, 25770583, 2034169, 4584397, 11237420, 32027090, 19733902, 5691181, 29341606, 13864540, 7742174, 12394933, 4647574, 14457331, 2844629, 10209748, 14422615, 4633522, 8187781, 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98720346, 85223942, 42597424, 3604799, 17888869, 204171138, 26938739, 7184812, 36746193, 6427401, 20714167, 205292066, 22042155, 37170656, 38215590, 25841362, 6771301, 31698491, 102061753, 31571996, 42776000, 20768483], "pos_side": [36452022, 1398009, 6843397, 1759045, 33958047, 46077500, 22218324, 3240479, 19642680, 13023481, 20487679, 24009919, 18992403, 83173193, 19488765, 34211859, 1805497, 24609330, 39940614, 25693857, 46607548, 23866529, 26919690, 84134476, 22024036, 24600193, 9646004, 37994258, 11201951, 9596362, 23137072, 36200886, 23391418, 10608611, 29760062, 11941587, 17210232, 8012822, 22204079, 20303822, 2571490, 4474087, 1390893, 38619617, 27915793, 2519309, 45059267, 13274284, 7891253, 2311046], "other": [1454314, 7420928, 34420456, 205281621, 12603809, 207005264, 422501, 29293541, 3245829, 83486823, 13635277, 37029826, 6511867, 2452511, 24722533, 5452749, 55069320, 44883432, 32377749, 84966144, 24485431, 45393518, 84752429, 282353961, 82335359, 35127612, 31648655, 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97922206, 42372284, 15953244, 16215362, 38685918, 8534695, 119107830, 31215563, 44861758, 38088204, 41899993, 22366804, 118035372, 135558932, 118381204, 15668989, 12823284, 95185909, 205526674, 7684986, 119347201, 95103480, 109088076, 5175867, 122996534, 119230116, 28283278, 119220897, 480070, 8652696, 13007408, 8074308]}}, "scaleup_51688635_11855134": {"query": "How to calculate radiative corrections beyond one loop to the false-vacuum decay rate in four-dimensional scalar field theory", "pos_cid": 118551346, "field": "Physics and Astronomy", "main": {"q_side": [119248768, 119312977, 119454706, 119061240, 117776329, 119321867, 118943305, 11578341, 118828462, 119066273, 17397392, 119667899, 54197466, 2729474, 8215884, 18693118, 25237688, 118353895, 118949853, 119428761, 118892110, 34856428, 118594314, 11106706, 118756403, 119283088, 119240530, 17779634, 24559181, 119116476, 119266367, 119485042, 119278084, 73640418, 119474378, 14496303, 53531192, 119528552, 56130121, 53710383, 119228255, 18310820, 14993589, 119418983, 118518157, 2524315, 15860609, 119467172, 119110242, 54190739], "pos_side": [8063008, 119211609, 119152321, 119328649, 1152504, 118950374, 119090843, 54641161, 118023985, 38676948, 15814081, 119041704, 54971560, 119284651, 115174934, 55447974, 119644298, 119484714, 119236195, 636175, 115177394, 119205562, 119024825, 119394056, 23383594, 22970729, 2606567, 119023401, 8204086, 9369706, 119294043, 17128717, 14183049, 5923969, 118860831, 119430735, 216070713, 119223089, 51775731, 33299593, 233529, 118500831, 10025860, 7567127, 2481434, 15812672, 14103378, 15230891, 119035501, 17768327], "other": [18796267, 119210008, 119469957, 115819912, 119392039, 17264381, 15498251, 119424333, 119262800, 17650936, 119451772, 36770052, 10388897, 12984209, 52998598, 15339965, 119287048, 118518191, 124007893, 119284344, 119472469, 8077887, 443565, 118710389, 7636754, 78087015, 86866691, 6120096, 43773986, 15133762, 14730879, 15783103, 16451747, 14119244, 14439392, 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12559690, 3182095, 207235104, 56517429, 6210950, 53817865, 58628, 8031633, 15811429, 209856992, 8096815, 13713683, 17379263, 2172830, 46872431, 15316077, 928409, 1465866, 18162229, 14355333, 15059248, 18789602, 6089679, 40986250, 1550663, 6505622, 10042774, 50783124, 56171300, 1104915, 5541881, 7193341, 53110062, 13569818, 208932746, 11117559, 8150151, 5650225, 220688495, 16819173, 20419119, 1053753, 4577175, 3440693], "other": [726453, 49485899, 118861817, 6470232, 16608864, 15682504, 233187209, 18039847, 17653543, 3583268, 1211841, 15616637, 33704364, 135252308, 6184369, 122338522, 49418328, 5845331, 13963818, 34355479, 206303340, 4948132, 42665114, 2756981, 52805331, 1735335, 10504623, 3432887, 57487854, 9323616, 5861551, 17840390, 52798372, 120874131, 7432265, 16032126, 125826474, 2940332, 29024530, 7308368, 53226653, 1273274, 52988091, 16481539, 116621702, 3276171, 14999230, 120432236, 116516275, 114270676]}}, "scaleup_20253951_11953698": {"query": "How to determine the energy-scale dependence of an inflationary potential and its parameters when perturbative treatment is insufficient and the evolution of its scale-dependent, field-independent term is not uniquely determined", "pos_cid": 119536989, "field": "Physics and Astronomy", "main": {"q_side": [8704215, 119268707, 118435471, 118470796, 55403673, 26614745, 118568849, 59421258, 12412928, 267214411, 10417204, 7631816, 119065730, 8958590, 119197661, 34532562, 119086010, 16439032, 119226359, 14406542, 119399750, 119256404, 18626799, 84177124, 119299508, 44196367, 119265209, 118689224, 16513586, 28836864, 119181483, 254106422, 7174142, 1949631, 73692091, 53645316, 118319685, 119243107, 118501206, 18611271, 119098444, 14913422, 119103284, 8347755, 109935027, 15797280, 119340542, 33793141, 31013176, 14375791], "pos_side": [53644193, 16656393, 15917617, 119287048, 16163164, 2946477, 31400555, 10698350, 12507463, 52968493, 44849845, 118422801, 118708107, 16272548, 62817139, 119337821, 15435641, 42315739, 202600498, 116944876, 67837164, 1170290, 256007670, 73457681, 54026073, 119200933, 91179497, 15643806, 119261168, 15827865, 15778369, 96581850, 206278583, 2127594, 16713973, 3230, 118666536, 118965802, 119295312, 119304545, 119401944, 119124014, 66068635, 16776467, 119063558, 29668386, 118699509, 16683407, 9102793, 119570635], "other": [119411777, 118416699, 16322867, 117495506, 92126457, 46795849, 118882348, 15574201, 5363395, 119106162, 96423720, 53941317, 13552894, 264165870, 120558628, 53332530, 17875331, 119523707, 131766520, 119414488, 17467434, 16935156, 6629348, 119358528, 51852273, 83061248, 33613952, 13990117, 119463319, 15994638, 118504471, 119108950, 36263241, 653575, 119163694, 17310166, 117812224, 73558900, 118336026, 118607732, 119174289, 117043751, 4804929, 54515081, 2347321, 119262939, 15197337, 119250162, 15871720, 2090147]}}, "scaleup_13652864_14113765": {"query": "How to determine how a tweet\u2019s grammar affects its likelihood of being retweeted independently of the popularity of its author and topic", "pos_cid": 14113765, "field": "Physics and Astronomy", "main": {"q_side": [8168192, 3631335, 15358164, 6167362, 7618210, 14755973, 72563, 12178489, 263874116, 7429393, 583197, 2302492, 10579176, 6304121, 6334574, 2258877, 32328262, 2960240, 16765077, 2031557, 2828904, 18507198, 3447736, 6644202, 10333182, 17934833, 2137587, 8033763, 3097438, 18069073, 18664455, 17293258, 1500805, 8050437, 61240462, 14522211, 1028428, 8613830, 267792961, 12307615, 15105319, 14989179, 16882934, 13147658, 230152, 646691, 8442893, 16719591, 2299747, 10861794], "pos_side": [6683220, 15021803, 14417375, 865918, 42856125, 5596382, 16175011, 1075, 12885437, 14652953, 706638, 21069703, 7818649, 12181252, 62334295, 17120734, 16975391, 14989027, 215961453, 14416836, 8145482, 6147855, 31335863, 129503821, 7778268, 851318, 14614660, 3904621, 15629780, 16262303, 17251243, 553099, 205895038, 6818566, 121811309, 11819231, 8032236, 36175032, 6771868, 62223299, 14596755, 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60897283, 98978188, 17598826, 15856292, 51876758, 7281059, 955063, 254861907, 51986076, 67249574, 12739303, 53017641, 46987154, 14769510, 6265944, 178554144, 256252730, 439616, 6271929, 13562269, 4058549, 76656084, 118726963, 119202114, 56779372, 4085150, 14803332, 240398696, 122611368, 2513260, 12439519, 121121009, 11700371, 44580679, 56595839, 118115392, 120295429, 17478009]}}, "scaleup_6853980_18560644": {"query": "How to identify the intrinsic properties of processes that produce growing interfaces from their data when existing classifications leave differences in their behavior unresolved", "pos_cid": 18560644, "field": "Physics and Astronomy", "main": {"q_side": [2604357, 16404220, 15141924, 18879590, 119845465, 11761086, 6323588, 15723015, 15133636, 260558609, 119294627, 262676283, 18177308, 12798964, 11760262, 17925524, 15995304, 214800728, 48737, 22312428, 8615864, 10588688, 1862176, 599699, 14386679, 57494141, 15813125, 20490617, 9639248, 1157931, 8057084, 36358750, 7466971, 14248048, 14547974, 6564335, 14349707, 7860083, 14164414, 9051774, 3146970, 118363599, 8719488, 17118771, 816481, 14581959, 14429267, 2364911, 16049264, 88513052], "pos_side": [119418800, 37286937, 120858563, 73651641, 10542192, 15235802, 17828167, 119798142, 7282120, 20999324, 15691469, 391349, 5848579, 7049159, 15924826, 18603540, 15102191, 14896367, 36104148, 9585957, 205152049, 55338457, 119563956, 123203956, 14892817, 11411664, 23502798, 14937409, 16475876, 154141730, 154874551, 59431098, 9616676, 2961031, 13852056, 9870549, 13841702, 4473756, 121887650, 121954752, 3093420, 16144843, 16703242, 153510988, 9821536, 820207, 11972113, 55828248, 119231033, 42290636], "other": [96472311, 16662325, 98773077, 16991060, 13967390, 27552237, 10458446, 2330537, 32135113, 10415070, 42205485, 18964260, 2385897, 14347158, 13919159, 9188622, 19676401, 16385495, 18419694, 82621080, 8854478, 4377542, 288403614, 12452124, 122370505, 11340445, 8909975, 117046879, 692718, 9538754, 14600386, 14739396, 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11211667, 117118100, 119269798, 16667720, 4806946], "pos_side": [142920356, 141166645, 116705097, 143091550, 141713536, 170162686, 52999235, 190690929, 208282563, 142886720, 34310314, 142241036, 142875605, 144310935, 142597366, 144750162, 40685896, 141617221, 61165657, 145365352, 6345375, 231359197, 142849794, 120354614, 132238305, 118582793, 54144270, 140884227, 142688373, 40114717, 141174862, 143418908, 30588272, 193455708, 142737840, 172180367, 51993021, 170666495, 199089280, 146210731, 143388666, 188040375, 190156572, 117358136, 162694739, 8804191, 49124210, 171349496, 145449818, 143200694], "other": [141480876, 250674080, 18592873, 141228019, 116959044, 266343674, 172707433, 147299391, 15936955, 118963819, 246110771, 14623808, 119164121, 135764531, 6334785, 17268145, 118779421, 119307225, 2412236, 123227971, 34941520, 118477877, 120072034, 119555533, 274808964, 9626138, 41107658, 118505701, 145657534, 118202467, 142888874, 220990660, 618431, 44003890, 119356912, 10165498, 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119455495, 16881166, 119032381], "pos_side": [29304207, 17500442, 13709547, 119276010, 21512580, 53406420, 6011827, 119110943, 119008471, 10331057, 7650254, 51735851, 10706429, 5337545, 11045782, 38807728, 44497622, 13420329, 119220067, 2040602, 34327767, 4410355, 3456386, 207749871, 36168744, 119274230, 4301174, 119074435, 38341742, 123241450, 118891159, 119153924, 54777973, 31268448, 41398016, 121144946, 6158070, 20365421, 121732505, 51750866, 33155839, 5312464, 119277457, 95005203, 43378533, 35752925, 55498235, 14842405, 119153512, 119246422], "other": [119244222, 205200759, 8441761, 264292201, 16996508, 54701305, 54533722, 42940472, 95563460, 16761627, 19875232, 122793734, 24253094, 17341709, 118678851, 119337899, 11457847, 55744651, 35218251, 55595093, 55309291, 120986370, 118349824, 39935561, 119424049, 13552894, 15563219, 119231160, 20829491, 118454267, 119188634, 122562123, 119104240, 59392259, 23861476, 25899696, 119283965, 5197496, 207673035, 12123684, 6823950, 118789369, 938902, 97015186, 20212438, 44230436, 2880014, 6338846, 119190798, 118777772]}}, "scaleup_24342267_17122673": {"query": "How to determine the extent of agreement about mentees\u2019 and mentors\u2019 experiences", "pos_cid": 17122673, "field": "Psychology", "main": {"q_side": [55922579, 55768857, 56385456, 46963743, 34738001, 36145036, 56390638, 2862751, 140789995, 10402106, 147305969, 256233281, 16379089, 24109774, 5408740, 145531234, 115741, 167884652, 14996895, 144135558, 39278602, 156882541, 195673123, 9239980, 154420107, 31099502, 34252207, 26075784, 36989409, 55079017, 1113844, 220102615, 53654650, 3513670, 54175834, 226132, 142309442, 143182440, 11394212, 46969281, 25720017, 54740719, 22587401, 140779571, 15598247, 55681119, 9431588, 59409270, 146663417, 39713052], "pos_side": [144895700, 73604380, 55573763, 145579911, 143557489, 283658280, 144057731, 145593591, 142684767, 145404191, 143419916, 16933098, 145434237, 110386450, 146125792, 54527810, 203436904, 56471644, 56350862, 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to psychiatric symptoms or factors associated with remaining unaffected", "pos_cid": 13239946, "field": "Psychology", "main": {"q_side": [3559891, 56176061, 11105319, 3697690, 11813543, 5902397, 34576495, 19737268, 51967874, 11538551, 14466816, 3596821, 205850299, 5017826, 53742691, 854469, 4935720, 4704233, 1219480, 6900251, 39631286, 16966690, 52821185, 56169679, 45301363, 3266164, 45667012, 141903362, 39322598, 152214561, 4618355, 47020955, 54568328, 25482097, 7931084, 21714124, 13178078, 3786138, 24756978, 51971507, 7789013, 13213015, 25271206, 7377324, 39757924, 3273479, 10377476, 14170211, 3858385, 11191732], "pos_side": [16307985, 3361977, 19195581, 7121652, 2025314, 205788422, 11412473, 14433356, 206252154, 34641752, 44110402, 17746022, 8996901, 21733960, 2778855, 52957145, 10663187, 70550689, 51715587, 11674593, 6237748, 2239698, 1203801, 142504004, 21751539, 17410109, 38719667, 1333596, 17415276, 81522743, 46874671, 3336080, 32305559, 17806239, 13780310, 6531471, 5987682, 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7037489, 30927377, 13139458, 3950080, 26329861, 415030, 17167785, 16609170]}}, "scaleup_19576425_16468104": {"query": "How to judge the significance of small associations when weak short-term effects may not reflect their long-term importance", "pos_cid": 164681045, "field": "Psychology", "main": {"q_side": [52049865, 4424535, 16060675, 1201874, 3344920, 14911912, 10501111, 35691055, 49867143, 53770983, 21406065, 4710324, 49481633, 43860567, 9306059, 12280336, 52017510, 12359081, 5205430, 24317068, 30309319, 42978200, 6975421, 25283687, 15040525, 44873828, 6222460, 4632023, 8089266, 17657990, 12867834, 1543097, 7367541, 4801175, 43193317, 49475945, 14353742, 4723376, 44473231, 43028027, 8972874, 17867244, 56479177, 55491086, 52006636, 42077102, 1255314, 4779839, 13406700, 1207947], "pos_side": [102920, 88513115, 31146332, 3397437, 49679999, 30307121, 52132913, 14241851, 142562208, 10090561, 22065843, 13786136, 56119283, 51951232, 13862863, 10826947, 163085173, 15749227, 18734470, 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in social anxiety disorder", "pos_cid": 16307985, "field": "Psychology", "main": {"q_side": [8960470, 15333927, 14597071, 42266440, 17250159, 29908764, 7598688, 2495858, 18381595, 11288476, 10375383, 35576734, 6067772, 1890046, 17344168, 11836286, 576317, 6949830, 3668714, 43198057, 2885582, 4595019, 7606101, 14731816, 16380935, 15494598, 18353756, 18561729, 23814491, 38099082, 263546157, 25819629, 144771191, 22900859, 16154065, 23700109, 39617187, 1486955, 13254171, 7616221, 13949659, 16856130, 14613614, 3868555, 10871681, 5713817, 6338572, 21421004, 144849553, 933024], "pos_side": [288434478, 21214596, 3720552, 16458798, 39341661, 6105801, 84723471, 38058506, 261361633, 26774031, 215530405, 13922750, 13125886, 3184751, 10767442, 9162558, 13912190, 4004393, 8711027, 5190636, 16270712, 15527230, 21266449, 13788833, 138522, 35079444, 9135717, 1725245, 207732915, 46405051, 3784250, 5749124, 18891091, 13856733, 1824284, 696067, 13780694, 11327345, 19002651, 10859259, 6026381, 144102600, 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clarify what is known about equine colic risk factors and which areas warrant more detailed evaluation given a large and diverse evidence base", "pos_cid": 12719181, "field": "Veterinary", "main": {"q_side": [15752850, 20601857, 37010992, 1448495, 41292699, 10000301, 33419471, 22121731, 4390482, 16982373, 84607352, 19382392, 1916488, 1023666, 205514920, 19184292, 56066373, 34271387, 8998842, 17132492, 19623995, 67814266, 46880650, 9783977, 74252654, 23813352, 38093244, 90461060, 136372, 9638682, 56654863, 10387447, 59329646, 205626450, 206337819, 13555117, 70786170, 22576250, 18102350, 14461659, 39978240, 9900845, 17737907, 8719760, 52901283, 42714468, 3916963, 10686053, 37113600, 20194176], "pos_side": [44402364, 2780010, 20409163, 11865899, 31189222, 21840688, 6746130, 44431186, 13673832, 25242525, 16358859, 16921638, 195670564, 2712950, 27316826, 30510204, 206074416, 26141529, 13734468, 215526324, 28182103, 25770955, 24585137, 6330526, 56778623, 8466893, 26994078, 44130274, 3562349, 80345185, 9395574, 10017234, 199625975, 17516493, 6343904, 2315301, 3752554, 4021413, 263124488, 14471046, 220066638, 16073283, 26037978, 21054907, 16326337, 5962966, 73266635, 3300306, 53216515, 72850834], "other": [17536376, 1420168, 199640, 245091923, 13583222, 46750907, 36046148, 26998099, 23353952, 11698318, 89122116, 29965055, 23982855, 35076288, 23775466, 38335482, 70516808, 6293728, 11834887, 6707751, 51617152, 53431409, 33883854, 40745534, 22590163, 116807487, 9928982, 54288993, 289078049, 207123157, 10746754, 23647646, 221924668, 22569056, 52974712, 45737903, 3777746, 196390965, 3113502, 16440586, 46699681, 14428038, 42874775, 52143940, 2966843, 240482210, 8321538, 19687843, 73085062, 13565328]}}, "scaleup_14699036_24803735": {"query": "How to clarify the relationship between gut-derived hormones and excessive hormone secretion in horses given the limitations of intravenous testing", "pos_cid": 24803735, "field": "Veterinary", "main": {"q_side": [85076542, 9340297, 34151395, 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86018119, 30912234, 42432963, 86064707, 12621652, 85952833, 30155922, 36107536, 53664947, 11380514, 82466299, 7927762, 33110286, 145584715, 88928503, 30496767, 6769405, 28952259, 10165566, 41584481, 3616487, 11281390, 1972811, 43381767, 24772786, 11477875, 43526621, 42396206, 18935983, 36404998, 23930020, 207536069, 41488668, 14195135, 23025566, 291159861, 88699030, 36127521, 29080190, 31960983, 10028202, 245050475, 256336404, 34431647, 89565360, 9315594, 10303550, 74420885]}}, "scaleup_64309205_83812805": {"query": "How to improve health and immunity in pre-weaned dairy calves highly susceptible to digestive diseases", "pos_cid": 83812805, "field": "Veterinary", "main": {"q_side": [21455664, 52981108, 85556987, 82505798, 34006434, 14517036, 3899289, 13654017, 3442795, 84773294, 257123090, 3864269, 31773007, 53519062, 53523986, 52075728, 19744896, 4892866, 8884025, 84861503, 79841831, 86332871, 5628434, 13018498, 55526847, 33014316, 52892085, 70672831, 9793915, 73671209, 53002388, 52891766, 46923185, 521198, 87959018, 3972036, 4839811, 3559181, 10863625, 8934771, 85245937, 96850791, 206339844, 7229130, 9127225, 86232346, 28677696, 52114043, 20472922, 49409068], "pos_side": [39207851, 12285419, 52153306, 40904684, 12097097, 26587072, 11632280, 168421346, 4469689, 13983476, 4088291, 23899501, 145820774, 43463261, 15074828, 7289403, 12291876, 26344920, 30708301, 13653202, 20692237, 277556788, 23700984, 25750807, 84018398, 45859549, 21382272, 55375736, 26115556, 24246798, 21423767, 86180677, 3552592, 36335713, 23518377, 36203375, 41226728, 3390397, 2033945, 36546440, 1511467, 5192638, 32827336, 52146002, 3458293, 44788918, 39892450, 43301265, 89380986, 13470996], "other": [14244325, 54477440, 84114945, 20607403, 85437766, 7668323, 257298360, 25426047, 56278016, 49236924, 54678602, 11716688, 3911652, 150589820, 9464364, 51928282, 257302425, 54917716, 5009700, 2014347, 72194241, 85034330, 255646921, 56035393, 5704702, 4568974, 15991016, 257545108, 34911668, 252018391, 34362182, 28059695, 3376526, 158406752, 7327, 23350174, 88775280, 257148112, 49863989, 70426056, 45414783, 10278925, 84240796, 12564774, 8458099, 196592948, 28459107, 40163580, 70376490, 54855094]}}, "scaleup_18883879_41172612": {"query": "How to quantify each remaining support\u2019s share of total weight-bearing load after removal of a rear support", "pos_cid": 41172612, "field": "Veterinary", "main": {"q_side": [2576407, 25871102, 42134327, 24993050, 44935453, 40256793, 34596127, 35484415, 2592938, 44603902, 24933033, 8105515, 22898894, 36051048, 14926356, 46522754, 9976657, 221953522, 995789, 42406427, 510012, 1080476, 31160979, 17057850, 12142167, 18252996, 46593965, 83741203, 24174328, 26049140, 26973367, 81784383, 18599041, 17974415, 37731354, 9043239, 34949201, 12086482, 18036916, 20945930, 23382590, 222068496, 41950674, 2168713, 21871440, 7656735, 39297384, 70640960, 16399423, 35833561], "pos_side": [878296, 84069463, 41299051, 26661337, 59498275, 43478135, 14881144, 1956967, 14646447, 53977181, 85626790, 110311197, 118938622, 110359887, 118763157, 13830209, 137622253, 91176527, 145051059, 26270014, 7344943, 2791363, 49237202, 1681594, 16487236, 62831973, 110267632, 44653130, 110370957, 53959837, 5530057, 4629776, 85236721, 124222800, 24869269, 10666866, 110695047, 84626512, 124264823, 45389929, 18075147, 37798223, 111322926, 39097053, 74227185, 110172695, 46478831, 25114341, 117643628, 110709937], "other": [110591590, 110426028, 115122543, 23550392, 14902047, 136468025, 287020997, 120818729, 255402416, 45100232, 28701025, 137338446, 29850608, 27749833, 6795583, 323519, 23172369, 250238627, 41060541, 118337753, 85418042, 24462454, 31447413, 16489333, 6705109, 19135777, 19950576, 256405720, 208773797, 116789385, 143188257, 136741782, 1384825, 110190537, 55221030, 283039562, 19011391, 27491385, 2255661, 4559591, 110669713, 113988790, 13943661, 54879220, 9212345, 111097395, 25084084, 67913066, 8537200, 109948563]}}, "scaleup_26465240_1180991": {"query": "How to evaluate genetic susceptibility to claw disorders when claw health is recorded in ordered severity categories", "pos_cid": 1180991, "field": "Veterinary", "main": {"q_side": [263054799, 8928566, 44707320, 16448800, 41375446, 25024468, 895916, 255917497, 36892251, 21632496, 51729084, 3617059, 2739854, 85063252, 3645147, 5229603, 34968559, 36949753, 592979, 46609959, 4408491, 3008112, 208554057, 2739098, 17395698, 21321565, 7638705, 2924404, 205598830, 6954175, 7369599, 14158582, 15320267, 8516511, 83526919, 3858827, 72497249, 12323512, 4389057, 11273368, 12170919, 256016334, 25012321, 18220343, 3639634, 205598338, 1014734, 3826718, 13576687, 10165510], "pos_side": [58481402, 248422298, 3625213, 1655321, 428271, 12808396, 60139426, 9966166, 61817962, 4662201, 206483167, 120063240, 13789298, 20605246, 23928735, 43041815, 118061082, 117305946, 13429263, 88518545, 57793171, 274001, 18738038, 32360888, 7143121, 27302388, 72038401, 202003, 12645981, 260465146, 3533869, 44158330, 20674636, 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