=== Comprehensive Similarity Analysis - Example 16 === Model Type: Bidirectional Aggregation Method: top_k_pairs Pair Score Method: cosine === SIMILARITY MATRICES === RAW EMBEDDINGS (Sentence Encoder): [[0.65345544 0.6645175 0.576836 0.6319817 0.57515734 0.61215323 0.5872103 0.6396522 0.6045585 0.4905169 0.59713715 0.5569561 0.64737576 0.589263 0.5609218 0.622501 0.6424248 0.6236921 0.5761621 0.56515867 0.6277555 0.6207185 0.61341447 0.636519 0.64104354 0.59991837 0.64347464 0.6063532 0.51296395 0.6144716 0.6913737 0.6318737 0.6167907 0.5652977 0.6090086 0.53298396 0.6270906 0.6324867 0.61536855 0.60612917 0.621299 0.5150033 0.58338803 0.53689015 0.5688612 0.54952055 0.61015064 0.55361754 0.53302324 0.47228312 0.57319736 0.5048531 0.45553985 0.5259144 0.54476523 0.50925624 0.5305835 0.6390908 0.49845067 0.47333214 0.5988155 0.5907745 0.5392868 0.53094196 0.5202199 0.52322954 0.52018404 0.569832 0.5080072 ] [0.6159653 0.55716604 0.5545561 0.6148987 0.61543673 0.6750793 0.60624355 0.6334585 0.6085664 0.61102927 0.5608191 0.52900946 0.57166874 0.5996033 0.637726 0.6100671 0.62454194 0.6237863 0.67156655 0.6634091 0.67610276 0.6536133 0.6171324 0.6519129 0.6561924 0.6061345 0.6796298 0.7166303 0.61750805 0.6180428 0.58534014 0.60681456 0.56751335 0.5443233 0.6479847 0.5401229 0.6227519 0.6120011 0.62884486 0.6027461 0.6380649 0.57139075 0.6817216 0.5764179 0.6684339 0.5913826 0.62090904 0.5616588 0.5282261 0.49384487 0.58275425 0.56847465 0.51669693 0.5467322 0.52845114 0.52384025 0.49695754 0.6214008 0.56162536 0.5875986 0.56412345 0.5512498 0.56141484 0.5368023 0.55948764 0.60111296 0.604897 0.6202318 0.5167221 ] [0.64818037 0.63402396 0.605868 0.64437497 0.6286479 0.66732883 0.6001124 0.64391136 0.6039071 0.5390072 0.56806874 0.5513964 0.6354599 0.62258536 0.6356605 0.61834484 0.6462587 0.6367683 0.60682076 0.5922472 0.664803 0.6655355 0.62764335 0.6337522 0.67992306 0.6512024 0.6510771 0.6294801 0.55237526 0.62370336 0.6276375 0.6402284 0.60155374 0.55978817 0.6364021 0.5158292 0.6338916 0.6406541 0.63178444 0.61213076 0.63800144 0.5447371 0.6095974 0.5749216 0.6140997 0.5748501 0.599535 0.5605353 0.5510845 0.50820625 0.6151706 0.55191547 0.5096817 0.5640606 0.5507025 0.5290519 0.5129364 0.61875314 0.54480654 0.54179007 0.6024458 0.5613233 0.5779467 0.5865867 0.5377984 0.52813846 0.5590593 0.6124243 0.539076 ] [0.6172557 0.5836475 0.58516026 0.65278035 0.5905344 0.61933523 0.53833807 0.5864141 0.5649231 0.5374927 0.5573279 0.590322 0.60019773 0.5768496 0.56264555 0.5884807 0.65132934 0.63520646 0.57285964 0.59209836 0.6047245 0.58311594 0.5536592 0.62134135 0.610619 0.56876 0.6127515 0.5946498 0.5606669 0.60336596 0.65216136 0.6171793 0.57580703 0.5605991 0.5808795 0.53432566 0.6058899 0.67108256 0.5828146 0.58392674 0.5955795 0.5273474 0.6028384 0.56217325 0.57000065 0.5590135 0.57418907 0.5232535 0.52396417 0.49703062 0.58698857 0.49947247 0.48730585 0.5458769 0.53529215 0.5219696 0.51712054 0.6049922 0.4856928 0.501032 0.5717784 0.55015767 0.5300305 0.5416859 0.512365 0.5608413 0.5671352 0.51454103 0.5156795 ] [0.6634358 0.6354317 0.58658606 0.64851356 0.6440482 0.66945183 0.58662057 0.66745037 0.59177375 0.54998994 0.55437165 0.52102613 0.60814977 0.63053995 0.65404314 0.64177966 0.6506485 0.63737726 0.62072784 0.64172 0.6921757 0.67609936 0.6418427 0.6432948 0.6996159 0.6255831 0.6848407 0.6555845 0.5913299 0.64944965 0.6156237 0.64090353 0.5854488 0.5305419 0.6541339 0.5649723 0.64871913 0.6381414 0.6513231 0.6118939 0.6606025 0.549253 0.61899936 0.6072743 0.6720096 0.590229 0.6131763 0.5692008 0.5534359 0.51371914 0.61875004 0.5612084 0.5082477 0.5561084 0.5529946 0.5361867 0.50021034 0.65012383 0.5632525 0.56525546 0.6079833 0.5522096 0.5819869 0.5869678 0.54686093 0.54303944 0.56032133 0.6194329 0.5225141 ] [0.66271377 0.6565149 0.645737 0.6720731 0.61902684 0.65282285 0.60827243 0.6902034 0.63445485 0.57292056 0.617157 0.5207853 0.62922454 0.6229038 0.6341936 0.65716815 0.66296196 0.6498708 0.645138 0.64461106 0.71361786 0.6915778 0.6416241 0.6765347 0.7226728 0.66048706 0.71494454 0.69121236 0.5997896 0.667148 0.64653707 0.6904353 0.6224859 0.59499186 0.676259 0.5855563 0.67441845 0.65386474 0.66658854 0.65515393 0.67794603 0.5873244 0.66543245 0.59873 0.63550925 0.61695033 0.642184 0.56643355 0.5555763 0.5321759 0.61334443 0.5780265 0.5267308 0.56090504 0.57121205 0.56034005 0.5320287 0.6202428 0.57928497 0.56254673 0.64217174 0.62057406 0.5858587 0.5892306 0.56692696 0.5933446 0.5953787 0.6205989 0.5681782 ] [0.6559881 0.643913 0.59904665 0.6440132 0.6426948 0.6671944 0.6024228 0.67142004 0.6166542 0.5547028 0.55665994 0.5447988 0.61593515 0.62790537 0.66237056 0.63245445 0.6490594 0.63366884 0.62500405 0.64763 0.6900468 0.67243826 0.63867396 0.636352 0.6922008 0.64168286 0.6853135 0.658527 0.5815963 0.6425815 0.61287814 0.6356627 0.5919505 0.5466018 0.64416015 0.5476427 0.63002515 0.63831395 0.64557743 0.59293896 0.65644795 0.5485628 0.6275881 0.6048073 0.6723446 0.6012424 0.6081319 0.563076 0.55274576 0.5114884 0.6165879 0.5599177 0.51964974 0.5515548 0.54841566 0.5189909 0.50577444 0.63638955 0.60154295 0.60633564 0.61116064 0.565539 0.601669 0.6172199 0.5684005 0.56364596 0.5707058 0.649145 0.5358405 ] [0.6485029 0.66159093 0.63868535 0.66413033 0.61324227 0.65780455 0.6063069 0.6988127 0.63791937 0.57332164 0.6075757 0.51690006 0.6282733 0.60527843 0.6199862 0.6471096 0.6590257 0.64013875 0.6387435 0.6419652 0.7159316 0.6885669 0.63755524 0.6722939 0.7252396 0.649423 0.7129532 0.68177384 0.5946817 0.6598172 0.64412373 0.69262564 0.61918074 0.60269403 0.67158145 0.58935314 0.6665178 0.6463618 0.65542567 0.6397775 0.6676294 0.5810012 0.6517375 0.5986844 0.6244558 0.60303235 0.6265421 0.558874 0.5420226 0.5334496 0.6248012 0.56218976 0.52823716 0.5615907 0.57990205 0.5606635 0.53916335 0.6062989 0.55508924 0.54229856 0.63805145 0.6173254 0.579059 0.58051825 0.5436485 0.5842484 0.5858377 0.6043181 0.55666655]] CONTEXTUALIZED SIMILARITIES (After Attention): [[0.9311629 0.943396 0.9236497 0.93327445 0.9131115 0.87540627 0.8738508 0.8943546 0.87601936 0.8426343 0.8845338 0.876252 0.9193424 0.90286636 0.8955095 0.9199384 0.93581784 0.9326008 0.8920946 0.8990042 0.8764097 0.89377326 0.9037999 0.9179422 0.9056802 0.9002224 0.90275234 0.89674443 0.8661198 0.9240735 0.9388188 0.91721773 0.9197044 0.87859726 0.900022 0.88866484 0.9289206 0.9336384 0.918783 0.9199386 0.92065585 0.8634241 0.879944 0.8982182 0.88934624 0.8915471 0.92097324 0.8628692 0.8622595 0.8421096 0.87870705 0.8487543 0.8336701 0.851013 0.8676176 0.8527061 0.8665815 0.9021489 0.8749874 0.84701973 0.8977191 0.9034098 0.8778322 0.8847587 0.8592186 0.87505597 0.86122054 0.86076266 0.8621425 ] [0.92354345 0.9124191 0.9207597 0.93242794 0.93117034 0.9004669 0.88442874 0.896727 0.8815524 0.88762355 0.8764317 0.8708388 0.89866316 0.91080004 0.9256173 0.9204411 0.93473923 0.93742543 0.9283919 0.93631345 0.8966458 0.9090966 0.9095373 0.9277076 0.91524416 0.9067563 0.9192175 0.9377335 0.9056509 0.92996913 0.90848 0.91351914 0.90771496 0.87558484 0.9174661 0.8953336 0.93223435 0.93166095 0.92792594 0.9234344 0.93091404 0.88672036 0.91700244 0.9159936 0.92693144 0.910032 0.9292257 0.86961377 0.86459327 0.8533226 0.8861407 0.87441194 0.858581 0.8620062 0.86607295 0.8615872 0.85892564 0.9007588 0.90078485 0.89006275 0.89042723 0.8943723 0.889523 0.8909746 0.8766395 0.9057531 0.8940164 0.88178813 0.8690909 ] [0.93292856 0.9368521 0.93696666 0.940815 0.93439835 0.897077 0.8819829 0.89939284 0.8796064 0.8630473 0.8786394 0.8782972 0.91900617 0.9175755 0.92387867 0.9221635 0.940534 0.9403884 0.90593606 0.9116291 0.8921445 0.9120575 0.91216373 0.92058516 0.92186403 0.9208238 0.90878886 0.90791845 0.8832311 0.93067586 0.92141944 0.92353016 0.9183012 0.8806424 0.9126606 0.8867581 0.93468505 0.93978465 0.9277621 0.9255423 0.9296884 0.87746054 0.89230156 0.91471374 0.9079354 0.90380675 0.92107385 0.86916244 0.8723766 0.85863596 0.8964256 0.8687328 0.8564855 0.8678961 0.8736022 0.86350316 0.86462426 0.8991031 0.89468116 0.87428415 0.9026709 0.8973142 0.8947147 0.90732217 0.86919755 0.8806315 0.8782019 0.8788173 0.8767684 ] [0.9219403 0.91927016 0.92908794 0.94286555 0.9208414 0.88021696 0.8598228 0.879294 0.86516774 0.86084175 0.8735271 0.889983 0.9062842 0.90127754 0.8986057 0.91128546 0.941497 0.9391283 0.8935041 0.91051924 0.8713061 0.88389575 0.886475 0.9155839 0.89830375 0.8923932 0.89524996 0.89542663 0.8845871 0.9230668 0.9286207 0.9149959 0.9085957 0.8794029 0.8932568 0.8915633 0.92460376 0.94909996 0.91063446 0.91516596 0.914812 0.86995304 0.88885176 0.9092644 0.89221585 0.89722174 0.9116183 0.8548975 0.86149013 0.8528773 0.88575464 0.8491681 0.84682435 0.86007464 0.8667492 0.8593243 0.86427104 0.8934246 0.87299615 0.8587222 0.8911807 0.89219326 0.8771043 0.89083487 0.8588368 0.89021677 0.8794304 0.8445448 0.86708426] [0.9335584 0.9329266 0.926133 0.93780136 0.9350783 0.8934563 0.8731417 0.90277153 0.8712376 0.86236316 0.86968803 0.86368227 0.9056372 0.91582114 0.92555684 0.9255046 0.9376037 0.93621206 0.90615946 0.92356914 0.8967502 0.9111756 0.91247994 0.91936195 0.92393565 0.90800136 0.9154565 0.91211337 0.8918771 0.9347583 0.9131403 0.91938984 0.9085531 0.86641574 0.91412634 0.8989461 0.9351691 0.934599 0.9298122 0.92107373 0.93272424 0.87457275 0.89105755 0.92110777 0.92262334 0.90454364 0.9211956 0.8676886 0.868766 0.8560817 0.8932461 0.86747396 0.8515549 0.86083496 0.8699673 0.8615229 0.8558515 0.9050587 0.896488 0.87781113 0.9001328 0.88985914 0.89166045 0.9030302 0.86785877 0.8812458 0.87424564 0.8767971 0.86670774] [0.9164917 0.92290723 0.92869455 0.9286057 0.9099274 0.8714878 0.8635635 0.8934799 0.86862916 0.8532107 0.8737883 0.8467739 0.8957528 0.8964273 0.9021412 0.91366076 0.924763 0.92341226 0.89736176 0.9076283 0.88709193 0.8994831 0.8955754 0.91340506 0.91467154 0.90264165 0.9085073 0.9069729 0.87779063 0.92363566 0.90646166 0.9187463 0.9038877 0.8711322 0.90456367 0.8887996 0.92667323 0.922877 0.9179216 0.91839206 0.9215188 0.8704322 0.88956165 0.9012356 0.8938276 0.89647853 0.91383433 0.8499301 0.8525782 0.84535784 0.874672 0.856224 0.8408591 0.8456199 0.85919523 0.8527504 0.8497002 0.878575 0.88480395 0.8599193 0.894564 0.8957293 0.8760111 0.88678 0.85769117 0.88115937 0.86909646 0.86042905 0.8651768 ] [0.92840123 0.93297493 0.92751336 0.93360406 0.93188643 0.8900313 0.8756614 0.901355 0.8767604 0.8611969 0.8677004 0.86892533 0.90546817 0.91220814 0.9255603 0.91969883 0.9343593 0.9322682 0.90482986 0.9227742 0.8933561 0.90726393 0.90870506 0.91437554 0.9188195 0.91057855 0.91290206 0.9103628 0.88587123 0.92976695 0.9095218 0.9149489 0.90796167 0.8690524 0.90813226 0.89030784 0.9263128 0.93193287 0.92519134 0.9120729 0.9286374 0.8715745 0.89116293 0.91751575 0.9199997 0.90546215 0.91679066 0.8628763 0.86576957 0.8525185 0.8897939 0.8642774 0.8526689 0.8565439 0.8656607 0.8529107 0.8549661 0.89784163 0.9066583 0.88892066 0.8984371 0.8915581 0.8954957 0.9104051 0.8723695 0.8854012 0.87496924 0.8839191 0.8684547 ] [0.91203576 0.9247419 0.92651373 0.926205 0.9081656 0.87318426 0.8629389 0.8964054 0.86981905 0.8533255 0.870632 0.8454443 0.89555156 0.89073586 0.89759743 0.9105115 0.92366505 0.9204073 0.89536303 0.90688753 0.8879602 0.89863527 0.89435375 0.91218126 0.9156722 0.899127 0.90802 0.90404665 0.87613136 0.9214087 0.9058159 0.9196225 0.9029043 0.87373996 0.9031735 0.89012456 0.92427135 0.9206079 0.9144252 0.9134756 0.9183227 0.8683202 0.88516974 0.90131754 0.8903162 0.8919369 0.90881866 0.84738725 0.847996 0.8457298 0.87850773 0.8508836 0.84130394 0.8458196 0.86211073 0.85282725 0.8520743 0.8741014 0.87667596 0.853082 0.89329636 0.89472604 0.87378085 0.88392174 0.8498339 0.8781531 0.8659351 0.85506 0.86127746]] FINAL MODEL SIMILARITIES (After Training): [[0.65346175 0.664498 0.5768176 0.63196313 0.57514787 0.6121305 0.5872116 0.6396607 0.6045572 0.49052238 0.59715754 0.55694973 0.6473774 0.58924425 0.56091833 0.6225022 0.642421 0.62368834 0.57615554 0.56515 0.6277505 0.6206964 0.61341214 0.6365315 0.6410278 0.5999005 0.643464 0.60634786 0.512965 0.61445785 0.6913676 0.63186723 0.61679727 0.56531394 0.6090123 0.5329808 0.62709904 0.63249266 0.61535966 0.606144 0.6212783 0.5150006 0.5833875 0.5368717 0.5688614 0.5495109 0.6101387 0.5536151 0.5330099 0.47228304 0.5731813 0.5048698 0.45551914 0.5259099 0.54474163 0.50925255 0.530562 0.6391103 0.4984444 0.47333026 0.59881103 0.5907713 0.5392975 0.5309482 0.52022463 0.5232116 0.5201824 0.56983185 0.50799155] [0.6159804 0.55715775 0.554556 0.6148905 0.61544836 0.6750761 0.6062523 0.6334791 0.60857964 0.6110332 0.5608388 0.52901775 0.57167256 0.59959036 0.6377383 0.6100789 0.6245477 0.6237949 0.67156565 0.6634114 0.6761081 0.65359217 0.6171381 0.6519284 0.65620065 0.6061311 0.67963594 0.71662104 0.6175039 0.6180398 0.58533955 0.6068168 0.56753105 0.54433984 0.6479975 0.5401174 0.6227736 0.61200655 0.62884486 0.6027616 0.6380596 0.5713829 0.68171304 0.57641125 0.6684468 0.5913798 0.62090945 0.5616571 0.52822834 0.4938454 0.5827571 0.5684866 0.5166783 0.5467327 0.52844167 0.5238378 0.49694452 0.6214249 0.56162417 0.58760345 0.56412375 0.5512551 0.5614325 0.53682 0.5595062 0.6011094 0.60490084 0.62024534 0.51671004] [0.6481785 0.63399863 0.60584044 0.6443396 0.6286338 0.66729724 0.60010314 0.6439054 0.60389596 0.53900224 0.56807303 0.55137455 0.6354528 0.62256294 0.63565415 0.6183419 0.646241 0.6367473 0.6068075 0.59222865 0.6647924 0.6655015 0.6276316 0.6337487 0.67990494 0.6511711 0.6510576 0.6294543 0.55235904 0.62368447 0.6276127 0.6402099 0.6015629 0.55978227 0.63639665 0.51580423 0.63389146 0.6406363 0.63177145 0.6121328 0.63797855 0.5447162 0.6095778 0.57489324 0.614091 0.5748246 0.59951794 0.56052315 0.5510727 0.5082025 0.6151361 0.5519145 0.5096555 0.56405056 0.55067295 0.52903324 0.51291126 0.6187527 0.5447949 0.5417786 0.6024318 0.56130755 0.57794523 0.5865749 0.5377944 0.5281125 0.55904114 0.6124222 0.53905416] [0.61724734 0.58362 0.5851293 0.6527531 0.5905212 0.61931336 0.5383298 0.5864104 0.56491077 0.5374924 0.55733407 0.5903081 0.60019076 0.57681495 0.5626335 0.5884788 0.6513115 0.6351899 0.5728472 0.5920848 0.60471046 0.58307725 0.55364645 0.6213376 0.61060214 0.56873167 0.6127299 0.59463316 0.5606556 0.60334367 0.65214574 0.61715853 0.5758147 0.5605911 0.580876 0.53430253 0.6058991 0.67107105 0.58279836 0.5839286 0.5955528 0.5273297 0.60282105 0.56214464 0.569993 0.5589926 0.5741662 0.52325094 0.52395463 0.49703014 0.5869714 0.49947807 0.4872834 0.5458657 0.5352727 0.5219522 0.51709676 0.6049986 0.485674 0.5010264 0.5717714 0.55014527 0.5300298 0.5416844 0.512367 0.5608146 0.56712204 0.5145438 0.51566315] [0.6634354 0.63539684 0.58656335 0.6484839 0.6440264 0.66941994 0.5866188 0.66745555 0.59175634 0.5499846 0.5543871 0.5210016 0.60813856 0.6305084 0.6540324 0.64177716 0.6506348 0.6373623 0.6207149 0.64169943 0.69217515 0.6760763 0.6418357 0.64330304 0.699601 0.62555754 0.684826 0.6555563 0.59132075 0.6494291 0.61559665 0.6408865 0.5854517 0.53054136 0.6541364 0.5649593 0.64871705 0.6381265 0.651311 0.6118924 0.6605774 0.5492233 0.61897933 0.60724396 0.6720052 0.5902018 0.61315155 0.56919026 0.5534195 0.5137162 0.61871475 0.56120443 0.50822365 0.5561023 0.5529574 0.5361654 0.5001762 0.6501223 0.5632343 0.5652448 0.6079629 0.55218947 0.58197856 0.5869633 0.5468554 0.54300815 0.56031275 0.6194377 0.52249014] [0.6627251 0.65648925 0.6457156 0.672052 0.6190134 0.65281 0.608274 0.6902093 0.6344532 0.5729308 0.61717236 0.52078044 0.6292162 0.6228759 0.63419056 0.6571641 0.66294867 0.6498617 0.6451315 0.6446049 0.7136035 0.6915411 0.6416167 0.6765454 0.7226639 0.66046333 0.7149349 0.691202 0.5997838 0.66712695 0.6465256 0.6904237 0.62249535 0.594998 0.6762669 0.5855521 0.6744266 0.6538661 0.66657454 0.65516686 0.6779239 0.5873145 0.6654366 0.59871024 0.63550776 0.61694026 0.64217603 0.56643075 0.5555712 0.5321787 0.6133317 0.57803214 0.5267148 0.5609069 0.5711889 0.5603361 0.5320151 0.6202547 0.5792732 0.5625327 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0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ] [0.2 0.2 0.2 0.2 0.2 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. ]] LEARNING EFFECT (Final - Raw): [[ 6.31809235e-06 -1.95503235e-05 -1.84178352e-05 -1.85370445e-05 -9.47713852e-06 -2.27093697e-05 1.31130219e-06 8.52346420e-06 -1.31130219e-06 5.48362732e-06 2.03847885e-05 -6.37769699e-06 1.60932541e-06 -1.87754631e-05 -3.45706940e-06 1.19209290e-06 -3.81469727e-06 -3.75509262e-06 -6.55651093e-06 -8.64267349e-06 -5.00679016e-06 -2.20537186e-05 -2.32458115e-06 1.24573708e-05 -1.57356262e-05 -1.78813934e-05 -1.06096268e-05 -5.36441803e-06 1.07288361e-06 -1.37686729e-05 -6.07967377e-06 -6.49690628e-06 6.55651093e-06 1.62124634e-05 3.69548798e-06 -3.15904617e-06 8.46385956e-06 5.96046448e-06 -8.88109207e-06 1.48415565e-05 -2.07424164e-05 -2.74181366e-06 -5.36441803e-07 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