Hugging Face's logo

Datasets:
junidude14
/
PBISC-data

Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
single-cell-rna-seq
bulk-rna-seq
diffusion
Libraries:
Datasets
pandas
Polars
Dataset card Data Studio Files
xet
 Community
1
junidude14 commited on
Commit
f518fd5
·
verified ·
1 Parent(s): 1f5e59c

Archive 4 checkpoints (1-4)

Browse files
Files changed (4) hide show
  1. paper-releases/pbisc-diffusion/updates/20261005T142225Z-rare-states-scratch-vs-pretrained/diffusion/dataset/server_1/model8/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_label_marker.log +36 -0
  2. paper-releases/pbisc-diffusion/updates/20261005T142225Z-rare-states-scratch-vs-pretrained/diffusion/dataset/server_1/model8/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_main.log +327 -0
  3. paper-releases/pbisc-diffusion/updates/20261005T142225Z-rare-states-scratch-vs-pretrained/diffusion/dataset/server_1/model8/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_sensitivity.log +68 -0
  4. paper-releases/pbisc-diffusion/updates/20261005T142225Z-rare-states-scratch-vs-pretrained/diffusion/metadata/request.json +1087 -0
paper-releases/pbisc-diffusion/updates/20261005T142225Z-rare-states-scratch-vs-pretrained/diffusion/dataset/server_1/model8/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_label_marker.log ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ arm gen_T_match obs_T_match gen_PT_match obs_PT_match thin_recomputed thin_summary_isgT
2
+ zs__raw True True True True 0.460680 0.461
3
+ lora_n5__raw True True True True 1.000000 1.000
4
+ scratch_n5__raw True True True True 1.000000 1.000
5
+ real_lora__raw True True True True 0.933981 0.934
6
+ real_full__raw True True True True 0.882039 0.882
7
+ scratch_full__raw True True True True 0.952913 0.953
8
+ lora_recipe__raw True True True True 0.922816 0.923
9
+ scratch_recipe__raw True True True True 0.927184 0.927
10
+ side arm thin n_T n_T_cycling n_PT_label n_PT_label_cycling mc50_pct_PT_passing_min mc50_pct_PT_passing_max mc50_pct_T_cycling_min mc50_pct_T_cycling_max pct_of_PT_label_passing_cycling_rule cycling_rule_pct_of_T pt_wilson_lo pt_wilson_hi t_wilson_lo t_wilson_hi
11
+ generated zs__raw NaN 8631 32 243 28 NaN NaN NaN NaN 11.523 0.371 8.093 16.149 0.263 0.523
12
+ observed thinned zs__raw 0.461 61162 163 444 137 27.027 31.982 0.237 0.284 30.856 0.267 26.739 35.301 0.229 0.311
13
+ generated lora_n5__raw NaN 12396 54 224 51 NaN NaN NaN NaN 22.768 0.436 17.763 28.691 0.334 0.568
14
+ observed thinned lora_n5__raw 1.000 61162 231 444 166 NaN NaN NaN NaN 37.387 0.378 33.013 41.978 0.332 0.430
15
+ generated scratch_n5__raw NaN 13611 28 135 25 NaN NaN NaN NaN 18.519 0.206 12.870 25.909 0.142 0.297
16
+ observed thinned scratch_n5__raw 1.000 61162 231 444 166 NaN NaN NaN NaN 37.387 0.378 33.013 41.978 0.332 0.430
17
+ generated real_lora__raw NaN 14147 44 153 40 NaN NaN NaN NaN 26.144 0.311 19.826 33.630 0.232 0.417
18
+ observed thinned real_lora__raw 0.934 61162 222 444 162 35.811 37.387 0.355 0.376 36.486 0.363 32.142 41.062 0.318 0.414
19
+ generated real_full__raw NaN 13435 61 180 50 NaN NaN NaN NaN 27.778 0.454 21.751 34.733 0.354 0.583
20
+ observed thinned real_full__raw 0.882 61162 217 444 161 35.135 37.162 0.343 0.373 36.261 0.355 31.925 40.833 0.311 0.405
21
+ generated scratch_full__raw NaN 13443 21 110 18 NaN NaN NaN NaN 16.364 0.156 10.609 24.389 0.102 0.239
22
+ observed thinned scratch_full__raw 0.953 61162 225 444 163 36.261 37.387 0.361 0.378 36.712 0.368 32.360 41.291 0.323 0.419
23
+ generated lora_recipe__raw NaN 13851 47 177 43 NaN NaN NaN NaN 24.294 0.339 18.566 31.114 0.255 0.451
24
+ observed thinned lora_recipe__raw 0.923 61162 221 444 162 35.811 37.387 0.350 0.374 36.486 0.361 32.142 41.062 0.317 0.412
25
+ generated scratch_recipe__raw NaN 13815 23 98 23 NaN NaN NaN NaN 23.469 0.166 16.178 32.762 0.111 0.250
26
+ observed thinned scratch_recipe__raw 0.927 61162 221 444 162 35.811 37.387 0.350 0.374 36.486 0.361 32.142 41.062 0.317 0.412
27
+ observed native - 1.000 61162 231 444 166 NaN NaN NaN NaN 37.387 0.378 33.013 41.978 0.332 0.430
28
+ comparison metric scratch_k_n pretrained_k_n diff_scratch_minus_pretrained_pp donor_boot_lo donor_boot_hi fisher_p
29
+ 5 pairs pct_PT_label_passing 25/135 51/224 -4.2493 -14.7039 6.0833 0.3543
30
+ 5 pairs pct_T_cycling 28/13611 54/12396 -0.2299 -0.4700 -0.0461 0.0012
31
+ 58 pairs vs LoRA pct_PT_label_passing 18/110 40/153 -9.7802 -17.1305 -1.6225 0.0705
32
+ 58 pairs vs LoRA pct_T_cycling 21/13443 44/14147 -0.1548 -0.3050 -0.0238 0.0088
33
+ 58 pairs vs full FT pct_PT_label_passing 18/110 50/180 -11.4141 -18.3974 -3.6604 0.0318
34
+ 58 pairs vs full FT pct_T_cycling 21/13443 61/13435 -0.2978 -0.4864 -0.1321 0.0000
35
+ recipes pct_PT_label_passing 23/98 43/177 -0.8244 -10.5278 8.0248 1.0000
36
+ recipes pct_T_cycling 23/13815 47/13851 -0.1728 -0.3187 -0.0483 0.0055
paper-releases/pbisc-diffusion/updates/20261005T142225Z-rare-states-scratch-vs-pretrained/diffusion/dataset/server_1/model8/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_main.log ADDED
@@ -0,0 +1,327 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [check] max |ratio - summary| = 4.44e-16; max |rho - summary| = 1.11e-16; count-string mismatches = 0
2
+ mean_abs_log2_pc05 mean_abs_log2_pc0 mean_spearman
3
+ arm
4
+ zs__raw 1.763 1.775 0.231
5
+ lora_n5__raw 1.300 1.304 0.295
6
+ scratch_n5__raw 1.524 1.534 0.187
7
+ real_lora__raw 1.393 1.405 0.293
8
+ real_full__raw 1.275 1.283 0.428
9
+ scratch_full__raw 1.412 1.422 0.274
10
+ lora_recipe__raw 1.395 1.406 0.398
11
+ scratch_recipe__raw 1.306 1.318 0.357
12
+ comparison state ratio_scratch_pc0 ratio_pretrained_pc0 abs_log2_scratch abs_log2_pretrained D D_ci_lo D_ci_hi D_bc_ci_lo D_bc_ci_hi verdict_pct verdict_bc
13
+ 5 pairs C1Q-high monocyte (reference) 1.005 1.075 0.009 0.105 -0.096 -0.403 0.504 -0.707 0.225 n.s. n.s.
14
+ 5 pairs Cycling T/NK 0.508 1.154 0.957 0.216 0.741 -0.434 1.701 -0.384 1.717 n.s. n.s.
15
+ 5 pairs Cycling activated T (CD38/HLA-DR) 0.404 0.443 1.298 1.163 0.135 -0.371 0.568 -0.388 0.542 n.s. n.s.
16
+ 5 pairs Proliferating T (label) 1.366 2.489 0.454 1.317 -0.863 -1.273 -0.459 -1.273 -0.459 scratch closer scratch closer
17
+ 5 pairs Plasmablast (label) 1.125 1.874 0.173 0.908 -0.735 -1.113 0.042 -1.235 -0.223 n.s. scratch closer
18
+ 5 pairs Plasmablast (markers) 0.350 0.503 1.512 0.989 0.522 -0.082 0.991 -0.035 1.025 n.s. n.s.
19
+ 5 pairs MS1 monocyte (IL1R2+) 0.096 0.152 3.382 2.716 0.665 -0.451 1.226 -0.247 1.281 n.s. n.s.
20
+ 5 pairs Cycling monocyte (Ye 2026) 0.061 0.112 3.989 3.144 0.845 -0.483 2.226 -0.345 2.306 n.s. n.s.
21
+ 5 pairs ISG-high monocyte (positive control) 0.325 0.325 1.620 1.620 -0.000 -1.307 1.083 -1.239 1.119 n.s. n.s.
22
+ 5 pairs ISG-high T 0.146 0.457 2.755 1.122 1.633 -0.160 3.041 -0.029 3.135 n.s. n.s.
23
+ 5 pairs DN2 / ABC B 1.635 1.107 0.712 0.150 0.562 -0.503 0.808 0.008 0.973 n.s. pretrained closer
24
+ 5 pairs HSPC 0.479 0.959 1.012 0.039 0.973 -0.580 1.936 0.073 2.967 n.s. pretrained closer
25
+ 5 pairs Cytotoxic CD4 T 1.516 1.793 0.603 0.845 -0.242 -0.749 0.609 -0.791 0.510 n.s. n.s.
26
+ 5 pairs Granulocyte-like (LDG) 0.129 0.055 2.952 4.182 -1.231 -2.073 -0.327 -2.059 -0.304 scratch closer scratch closer
27
+ 5 pairs Platelet signal in monocytes (negative control) 0.598 0.836 0.740 0.259 0.481 -0.021 0.747 0.050 0.770 n.s. pretrained closer
28
+ 5 pairs MEAN13 NaN NaN 1.524 1.300 0.224 -0.078 0.406 0.010 0.458 n.s. pretrained closer
29
+ 58 pairs vs LoRA C1Q-high monocyte (reference) 0.467 1.053 1.092 0.078 1.014 -0.264 1.343 0.382 1.467 n.s. pretrained closer
30
+ 58 pairs vs LoRA Cycling T/NK 0.416 0.932 1.240 0.092 1.147 0.200 1.783 0.476 2.079 pretrained closer pretrained closer
31
+ 58 pairs vs LoRA Cycling activated T (CD38/HLA-DR) 0.315 0.409 1.652 1.280 0.372 -0.370 0.958 -0.366 0.958 n.s. n.s.
32
+ 58 pairs vs LoRA Proliferating T (label) 1.127 1.490 0.178 0.578 -0.401 -0.815 0.204 -1.006 0.008 n.s. n.s.
33
+ 58 pairs vs LoRA Plasmablast (label) 1.240 3.475 0.314 1.797 -1.484 -2.268 0.344 -2.457 0.023 n.s. n.s.
34
+ 58 pairs vs LoRA Plasmablast (markers) 0.642 1.040 0.638 0.057 0.580 -1.005 0.883 0.162 1.482 n.s. pretrained closer
35
+ 58 pairs vs LoRA MS1 monocyte (IL1R2+) 0.405 0.206 1.304 2.276 -0.972 -1.442 0.035 -1.492 -0.098 n.s. scratch closer
36
+ 58 pairs vs LoRA Cycling monocyte (Ye 2026) 0.087 0.090 3.486 3.437 0.048 -0.947 1.070 -0.927 1.102 n.s. n.s.
37
+ 58 pairs vs LoRA ISG-high monocyte (positive control) 0.306 0.436 1.702 1.194 0.508 -0.455 1.262 -0.389 1.297 n.s. n.s.
38
+ 58 pairs vs LoRA ISG-high T 0.170 0.373 2.537 1.413 1.124 -0.231 2.229 -0.180 2.277 n.s. n.s.
39
+ 58 pairs vs LoRA DN2 / ABC B 0.634 0.351 0.653 1.502 -0.849 -1.777 0.023 -1.777 0.023 n.s. n.s.
40
+ 58 pairs vs LoRA HSPC 1.338 0.574 0.436 0.760 -0.325 -2.121 0.987 -1.993 1.087 n.s. n.s.
41
+ 58 pairs vs LoRA Cytotoxic CD4 T 0.800 0.895 0.314 0.153 0.161 -0.232 0.538 -0.180 0.604 n.s. n.s.
42
+ 58 pairs vs LoRA Granulocyte-like (LDG) 0.043 0.038 4.517 4.686 -0.169 -1.018 0.507 -0.949 0.536 n.s. n.s.
43
+ 58 pairs vs LoRA Platelet signal in monocytes (negative control) 0.392 0.547 1.347 0.868 0.480 -0.125 0.913 -0.089 0.937 n.s. n.s.
44
+ 58 pairs vs LoRA MEAN13 NaN NaN 1.412 1.393 0.019 -0.350 0.255 -0.238 0.379 n.s. n.s.
45
+ 58 pairs vs full FT C1Q-high monocyte (reference) 0.467 0.917 1.092 0.122 0.970 -0.099 1.249 0.534 1.484 n.s. pretrained closer
46
+ 58 pairs vs full FT Cycling T/NK 0.416 1.336 1.240 0.425 0.815 -0.142 1.869 -0.213 1.828 n.s. n.s.
47
+ 58 pairs vs full FT Cycling activated T (CD38/HLA-DR) 0.315 0.578 1.652 0.782 0.870 0.239 1.395 0.157 1.372 pretrained closer pretrained closer
48
+ 58 pairs vs full FT Proliferating T (label) 1.127 1.846 0.178 0.886 -0.709 -1.031 -0.097 -1.155 -0.316 scratch closer scratch closer
49
+ 58 pairs vs full FT Plasmablast (label) 1.240 3.280 0.314 1.714 -1.401 -2.018 -0.134 -2.201 -0.416 scratch closer scratch closer
50
+ 58 pairs vs full FT Plasmablast (markers) 0.642 1.154 0.638 0.208 0.430 -0.866 1.010 -0.678 1.089 n.s. n.s.
51
+ 58 pairs vs full FT MS1 monocyte (IL1R2+) 0.405 0.361 1.304 1.467 -0.164 -0.808 0.857 -0.863 0.774 n.s. n.s.
52
+ 58 pairs vs full FT Cycling monocyte (Ye 2026) 0.087 0.114 3.486 3.100 0.385 -0.429 1.285 -0.503 1.228 n.s. n.s.
53
+ 58 pairs vs full FT ISG-high monocyte (positive control) 0.306 0.576 1.702 0.792 0.910 -0.303 1.731 -0.224 1.823 n.s. n.s.
54
+ 58 pairs vs full FT ISG-high T 0.170 0.449 2.537 1.144 1.393 -0.223 2.664 -0.174 2.720 n.s. n.s.
55
+ 58 pairs vs full FT DN2 / ABC B 0.634 0.372 0.653 1.417 -0.764 -1.396 0.008 -1.432 -0.047 n.s. scratch closer
56
+ 58 pairs vs full FT HSPC 1.338 0.782 0.436 0.324 0.111 -1.018 0.997 -0.943 1.037 n.s. n.s.
57
+ 58 pairs vs full FT Cytotoxic CD4 T 0.800 1.322 0.314 0.408 -0.094 -0.630 0.477 -0.647 0.447 n.s. n.s.
58
+ 58 pairs vs full FT Granulocyte-like (LDG) 0.043 0.041 4.517 4.575 -0.059 -0.630 0.503 -0.663 0.455 n.s. n.s.
59
+ 58 pairs vs full FT Platelet signal in monocytes (negative control) 0.392 0.699 1.347 0.515 0.833 0.447 1.189 0.446 1.188 pretrained closer pretrained closer
60
+ 58 pairs vs full FT MEAN13 NaN NaN 1.412 1.275 0.137 -0.138 0.406 -0.129 0.413 n.s. n.s.
61
+ recipes C1Q-high monocyte (reference) 0.532 0.626 0.903 0.671 0.231 -0.644 0.783 -0.607 0.794 n.s. n.s.
62
+ recipes Cycling T/NK 0.479 0.987 1.040 0.008 1.031 -0.008 1.526 0.483 1.831 n.s. pretrained closer
63
+ recipes Cycling activated T (CD38/HLA-DR) 0.279 0.457 1.825 1.120 0.705 -0.075 1.497 -0.125 1.429 n.s. n.s.
64
+ recipes Proliferating T (label) 0.977 1.760 0.028 0.818 -0.791 -1.078 -0.085 -1.317 -0.488 scratch closer scratch closer
65
+ recipes Plasmablast (label) 1.175 2.300 0.236 1.203 -0.967 -1.540 0.358 -1.679 -0.018 n.s. scratch closer
66
+ recipes Plasmablast (markers) 0.734 0.711 0.444 0.491 -0.047 -0.888 0.343 -0.681 0.439 n.s. n.s.
67
+ recipes MS1 monocyte (IL1R2+) 0.462 0.301 1.112 1.729 -0.618 -1.379 0.399 -1.438 0.354 n.s. n.s.
68
+ recipes Cycling monocyte (Ye 2026) 0.087 0.096 3.477 3.336 0.141 -0.775 0.976 -0.795 0.961 n.s. n.s.
69
+ recipes ISG-high monocyte (positive control) 0.263 0.597 1.918 0.741 1.177 -0.276 2.423 -0.204 2.485 n.s. n.s.
70
+ recipes ISG-high T 0.184 0.533 2.425 0.901 1.524 0.081 2.490 0.125 2.540 pretrained closer pretrained closer
71
+ recipes DN2 / ABC B 0.459 0.283 1.115 1.811 -0.696 -1.206 -0.077 -1.195 -0.055 scratch closer scratch closer
72
+ recipes HSPC 0.956 0.711 0.042 0.460 -0.419 -1.734 0.531 -2.280 0.327 n.s. n.s.
73
+ recipes Cytotoxic CD4 T 1.188 1.234 0.253 0.308 -0.055 -0.431 0.523 -0.484 0.453 n.s. n.s.
74
+ recipes Granulocyte-like (LDG) 0.059 0.025 4.079 5.272 -1.193 -2.181 -0.356 -2.145 -0.346 scratch closer scratch closer
75
+ recipes Platelet signal in monocytes (negative control) 0.446 0.545 1.164 0.874 0.289 -0.251 0.848 -0.284 0.823 n.s. n.s.
76
+ recipes MEAN13 NaN NaN 1.306 1.395 -0.089 -0.379 0.178 -0.396 0.164 n.s. n.s.
77
+ zs ref: 5 pairs C1Q-high monocyte (reference) 1.005 0.025 0.009 5.264 -5.255 -6.311 -3.475 -7.139 -4.233 scratch closer scratch closer
78
+ zs ref: 5 pairs Cycling T/NK 0.508 2.517 0.957 1.338 -0.382 -1.642 1.008 -1.787 0.851 n.s. n.s.
79
+ zs ref: 5 pairs Cycling activated T (CD38/HLA-DR) 0.404 0.646 1.298 0.611 0.687 0.026 1.339 0.037 1.375 pretrained closer pretrained closer
80
+ zs ref: 5 pairs Proliferating T (label) 1.366 3.878 0.454 1.957 -1.503 -2.159 -0.605 -2.154 -0.598 scratch closer scratch closer
81
+ zs ref: 5 pairs Plasmablast (label) 1.125 1.507 0.173 0.594 -0.421 -1.230 0.414 -1.278 0.310 n.s. n.s.
82
+ zs ref: 5 pairs Plasmablast (markers) 0.350 0.782 1.512 0.353 1.159 0.089 1.551 0.421 1.697 pretrained closer pretrained closer
83
+ zs ref: 5 pairs MS1 monocyte (IL1R2+) 0.096 0.084 3.382 3.571 -0.190 -1.670 0.503 -1.488 0.554 n.s. n.s.
84
+ zs ref: 5 pairs Cycling monocyte (Ye 2026) 0.061 0.093 3.989 3.395 0.594 -0.646 1.797 -0.589 1.850 n.s. n.s.
85
+ zs ref: 5 pairs ISG-high monocyte (positive control) 0.325 2.627 1.620 1.393 0.227 -2.061 1.751 -2.177 1.678 n.s. n.s.
86
+ zs ref: 5 pairs ISG-high T 0.146 2.705 2.755 1.441 1.314 -0.379 2.853 -0.400 2.826 n.s. n.s.
87
+ zs ref: 5 pairs DN2 / ABC B 1.635 1.268 0.712 0.346 0.366 -0.427 0.707 -0.095 0.836 n.s. n.s.
88
+ zs ref: 5 pairs HSPC 0.479 0.882 1.012 0.151 0.861 -0.578 1.975 -0.150 2.721 n.s. n.s.
89
+ zs ref: 5 pairs Cytotoxic CD4 T 1.516 0.467 0.603 1.062 -0.459 -1.543 1.197 -1.597 1.030 n.s. n.s.
90
+ zs ref: 5 pairs Granulocyte-like (LDG) 0.129 0.140 2.952 2.831 0.121 -0.455 0.953 -0.612 0.729 n.s. n.s.
91
+ zs ref: 5 pairs Platelet signal in monocytes (negative control) 0.598 0.360 0.740 1.473 -0.733 -1.174 -0.378 -1.103 -0.301 scratch closer scratch closer
92
+ zs ref: 5 pairs MEAN13 NaN NaN 1.524 1.763 -0.239 -0.515 0.005 -0.507 0.008 n.s. n.s.
93
+ zs ref: 58 pairs C1Q-high monocyte (reference) 0.467 0.025 1.092 5.264 -4.172 -5.389 -3.184 -5.234 -3.094 scratch closer scratch closer
94
+ zs ref: 58 pairs Cycling T/NK 0.416 2.517 1.240 1.338 -0.098 -1.169 1.094 -1.335 0.973 n.s. n.s.
95
+ zs ref: 58 pairs Cycling activated T (CD38/HLA-DR) 0.315 0.646 1.652 0.611 1.041 0.062 1.920 0.074 1.926 pretrained closer pretrained closer
96
+ zs ref: 58 pairs Proliferating T (label) 1.127 3.878 0.178 1.957 -1.779 -2.457 -0.786 -2.620 -1.017 scratch closer scratch closer
97
+ zs ref: 58 pairs Plasmablast (label) 1.240 1.507 0.314 0.594 -0.280 -0.956 0.439 -0.964 0.430 n.s. n.s.
98
+ zs ref: 58 pairs Plasmablast (markers) 0.642 0.782 0.638 0.353 0.285 -0.565 0.678 -0.249 0.945 n.s. n.s.
99
+ zs ref: 58 pairs MS1 monocyte (IL1R2+) 0.405 0.084 1.304 3.571 -2.268 -3.626 -0.903 -3.599 -0.894 scratch closer scratch closer
100
+ zs ref: 58 pairs Cycling monocyte (Ye 2026) 0.087 0.093 3.486 3.395 0.091 -1.271 1.154 -1.152 1.198 n.s. n.s.
101
+ zs ref: 58 pairs ISG-high monocyte (positive control) 0.306 2.627 1.702 1.393 0.308 -1.714 1.495 -1.756 1.468 n.s. n.s.
102
+ zs ref: 58 pairs ISG-high T 0.170 2.705 2.537 1.441 1.097 -0.433 2.374 -0.617 2.282 n.s. n.s.
103
+ zs ref: 58 pairs DN2 / ABC B 0.634 1.268 0.653 0.346 0.307 -1.024 1.172 -0.885 1.264 n.s. n.s.
104
+ zs ref: 58 pairs HSPC 1.338 0.882 0.436 0.151 0.284 -0.896 1.011 -0.449 1.315 n.s. n.s.
105
+ zs ref: 58 pairs Cytotoxic CD4 T 0.800 0.467 0.314 1.062 -0.749 -1.581 0.092 -1.682 -0.004 n.s. scratch closer
106
+ zs ref: 58 pairs Granulocyte-like (LDG) 0.043 0.140 4.517 2.831 1.686 1.037 2.556 0.917 2.398 pretrained closer pretrained closer
107
+ zs ref: 58 pairs Platelet signal in monocytes (negative control) 0.392 0.360 1.347 1.473 -0.126 -0.656 0.332 -0.599 0.371 n.s. n.s.
108
+ zs ref: 58 pairs MEAN13 NaN NaN 1.412 1.763 -0.350 -0.660 -0.128 -0.619 -0.101 scratch closer scratch closer
109
+ zs ref: recipes C1Q-high monocyte (reference) 0.532 0.025 0.903 5.264 -4.361 -5.587 -3.565 -5.516 -3.518 scratch closer scratch closer
110
+ zs ref: recipes Cycling T/NK 0.479 2.517 1.040 1.338 -0.298 -1.337 0.865 -1.564 0.700 n.s. n.s.
111
+ zs ref: recipes Cycling activated T (CD38/HLA-DR) 0.279 0.646 1.825 0.611 1.214 0.207 2.213 0.267 2.240 pretrained closer pretrained closer
112
+ zs ref: recipes Proliferating T (label) 0.977 3.878 0.028 1.957 -1.929 -2.523 -0.846 -2.725 -1.234 scratch closer scratch closer
113
+ zs ref: recipes Plasmablast (label) 1.175 1.507 0.236 0.594 -0.358 -1.024 0.504 -1.092 0.396 n.s. n.s.
114
+ zs ref: recipes Plasmablast (markers) 0.734 0.782 0.444 0.353 0.091 -0.782 0.430 -0.436 0.564 n.s. n.s.
115
+ zs ref: recipes MS1 monocyte (IL1R2+) 0.462 0.084 1.112 3.571 -2.459 -3.828 -1.004 -3.828 -1.004 scratch closer scratch closer
116
+ zs ref: recipes Cycling monocyte (Ye 2026) 0.087 0.093 3.477 3.395 0.082 -1.140 0.939 -1.047 0.992 n.s. n.s.
117
+ zs ref: recipes ISG-high monocyte (positive control) 0.263 2.627 1.918 1.393 0.525 -1.791 2.016 -1.992 1.933 n.s. n.s.
118
+ zs ref: recipes ISG-high T 0.184 2.705 2.425 1.441 0.984 -0.501 2.314 -0.588 2.265 n.s. n.s.
119
+ zs ref: recipes DN2 / ABC B 0.459 1.268 1.115 0.346 0.769 -0.771 1.610 -0.626 1.713 n.s. n.s.
120
+ zs ref: recipes HSPC 0.956 0.882 0.042 0.151 -0.109 -0.908 0.549 -1.060 0.470 n.s. n.s.
121
+ zs ref: recipes Cytotoxic CD4 T 1.188 0.467 0.253 1.062 -0.810 -1.720 0.412 -1.819 0.229 n.s. n.s.
122
+ zs ref: recipes Granulocyte-like (LDG) 0.059 0.140 4.079 2.831 1.248 0.560 2.101 0.405 1.947 pretrained closer pretrained closer
123
+ zs ref: recipes Platelet signal in monocytes (negative control) 0.446 0.360 1.164 1.473 -0.309 -0.943 0.284 -0.930 0.288 n.s. n.s.
124
+ zs ref: recipes MEAN13 NaN NaN 1.306 1.763 -0.457 -0.729 -0.238 -0.748 -0.251 scratch closer scratch closer
125
+ verdict_pct n.s. scratch closer pretrained closer
126
+ kind comparison
127
+ main 5 pairs 11 2 0
128
+ 58 pairs vs LoRA 12 0 1
129
+ 58 pairs vs full FT 10 2 1
130
+ recipes 9 3 1
131
+ reference zs ref: 5 pairs 9 2 2
132
+ zs ref: 58 pairs 8 3 2
133
+ zs ref: recipes 8 3 2
134
+ verdict_bc n.s. scratch closer pretrained closer
135
+ kind comparison
136
+ main 5 pairs 8 3 2
137
+ 58 pairs vs LoRA 9 1 3
138
+ 58 pairs vs full FT 8 3 2
139
+ recipes 7 4 2
140
+ reference zs ref: 5 pairs 9 2 2
141
+ zs ref: 58 pairs 7 4 2
142
+ zs ref: recipes 8 3 2
143
+ kind comparison state rho_scratch rho_pretrained diff_pre_minus_scratch ci_lo ci_hi n_finite ci_lo_nanmean ci_hi_nanmean verdict
144
+ main 5 pairs C1Q-high monocyte (reference) 0.409 0.152 -0.257 -0.765 0.112 2000 -0.765 0.112 n.s.
145
+ main 5 pairs Cycling T/NK -0.107 0.179 0.286 -0.296 0.789 2000 -0.296 0.789 n.s.
146
+ main 5 pairs Cycling activated T (CD38/HLA-DR) -0.549 -0.246 0.303 -0.123 0.728 2000 -0.123 0.728 n.s.
147
+ main 5 pairs Proliferating T (label) 0.431 0.466 0.034 -0.584 0.630 2000 -0.584 0.630 n.s.
148
+ main 5 pairs Plasmablast (label) 0.386 0.276 -0.110 -0.657 0.419 2000 -0.657 0.419 n.s.
149
+ main 5 pairs Plasmablast (markers) 0.422 0.101 -0.321 -0.861 0.184 2000 -0.861 0.184 n.s.
150
+ main 5 pairs MS1 monocyte (IL1R2+) 0.782 0.838 0.056 -0.237 0.375 2000 -0.237 0.375 n.s.
151
+ main 5 pairs Cycling monocyte (Ye 2026) 0.178 0.219 0.041 -0.784 0.816 2000 -0.784 0.816 n.s.
152
+ main 5 pairs ISG-high monocyte (positive control) -0.218 -0.092 0.126 -0.550 0.785 2000 -0.550 0.785 n.s.
153
+ main 5 pairs ISG-high T 0.007 0.147 0.139 -0.758 0.996 2000 -0.758 0.996 n.s.
154
+ main 5 pairs DN2 / ABC B 0.326 0.375 0.049 -0.315 0.403 2000 -0.315 0.403 n.s.
155
+ main 5 pairs HSPC 0.135 0.103 -0.032 -0.782 0.770 2000 -0.782 0.770 n.s.
156
+ main 5 pairs Cytotoxic CD4 T -0.395 0.743 1.137 0.461 1.603 2000 0.461 1.603 pretrained tracks better
157
+ main 5 pairs Granulocyte-like (LDG) 0.403 0.489 0.085 -0.548 0.703 2000 -0.548 0.703 n.s.
158
+ main 5 pairs Platelet signal in monocytes (negative control) -0.375 0.218 0.593 -0.005 1.145 2000 -0.005 1.145 n.s.
159
+ main 5 pairs MEAN13 0.187 0.295 0.109 -0.080 0.294 2000 -0.080 0.294 n.s.
160
+ main 58 pairs vs LoRA C1Q-high monocyte (reference) 0.509 0.491 -0.018 -0.404 0.340 2000 -0.404 0.340 n.s.
161
+ main 58 pairs vs LoRA Cycling T/NK -0.171 0.181 0.353 -0.277 0.884 2000 -0.277 0.884 n.s.
162
+ main 58 pairs vs LoRA Cycling activated T (CD38/HLA-DR) -0.569 -0.275 0.294 -0.224 0.806 2000 -0.224 0.806 n.s.
163
+ main 58 pairs vs LoRA Proliferating T (label) 0.488 0.485 -0.002 -0.607 0.514 2000 -0.607 0.514 n.s.
164
+ main 58 pairs vs LoRA Plasmablast (label) 0.432 0.014 -0.418 -1.041 0.283 2000 -1.041 0.283 n.s.
165
+ main 58 pairs vs LoRA Plasmablast (markers) 0.200 0.123 -0.077 -0.739 0.563 2000 -0.739 0.563 n.s.
166
+ main 58 pairs vs LoRA MS1 monocyte (IL1R2+) 0.914 0.811 -0.102 -0.372 0.072 2000 -0.372 0.072 n.s.
167
+ main 58 pairs vs LoRA Cycling monocyte (Ye 2026) 0.190 -0.357 -0.547 -1.174 0.257 2000 -1.174 0.257 n.s.
168
+ main 58 pairs vs LoRA ISG-high monocyte (positive control) 0.645 0.690 0.045 -0.282 0.396 2000 -0.282 0.396 n.s.
169
+ main 58 pairs vs LoRA ISG-high T 0.412 0.714 0.302 -0.145 0.774 2000 -0.145 0.774 n.s.
170
+ main 58 pairs vs LoRA DN2 / ABC B 0.490 0.375 -0.115 -0.637 0.366 2000 -0.637 0.366 n.s.
171
+ main 58 pairs vs LoRA HSPC -0.068 0.238 0.306 -0.183 0.739 1999 -0.183 0.739 n.s.
172
+ main 58 pairs vs LoRA Cytotoxic CD4 T 0.578 0.762 0.183 -0.143 0.592 2000 -0.143 0.592 n.s.
173
+ main 58 pairs vs LoRA Granulocyte-like (LDG) 0.158 0.251 0.092 -0.352 0.567 2000 -0.352 0.567 n.s.
174
+ main 58 pairs vs LoRA Platelet signal in monocytes (negative control) 0.549 0.005 -0.544 -1.036 0.015 2000 -1.036 0.015 n.s.
175
+ main 58 pairs vs LoRA MEAN13 0.274 0.293 0.019 -0.121 0.186 1999 -0.121 0.186 n.s.
176
+ main 58 pairs vs full FT C1Q-high monocyte (reference) 0.509 0.569 0.060 -0.324 0.476 2000 -0.324 0.476 n.s.
177
+ main 58 pairs vs full FT Cycling T/NK -0.171 0.466 0.637 0.008 1.111 2000 0.008 1.111 pretrained tracks better
178
+ main 58 pairs vs full FT Cycling activated T (CD38/HLA-DR) -0.569 0.015 0.583 -0.057 1.155 2000 -0.057 1.155 n.s.
179
+ main 58 pairs vs full FT Proliferating T (label) 0.488 0.735 0.248 -0.377 0.797 2000 -0.377 0.797 n.s.
180
+ main 58 pairs vs full FT Plasmablast (label) 0.432 0.373 -0.059 -0.629 0.570 2000 -0.629 0.570 n.s.
181
+ main 58 pairs vs full FT Plasmablast (markers) 0.200 0.077 -0.123 -0.721 0.462 2000 -0.721 0.462 n.s.
182
+ main 58 pairs vs full FT MS1 monocyte (IL1R2+) 0.914 0.910 -0.004 -0.164 0.152 2000 -0.164 0.152 n.s.
183
+ main 58 pairs vs full FT Cycling monocyte (Ye 2026) 0.190 0.154 -0.036 -0.747 0.636 2000 -0.747 0.636 n.s.
184
+ main 58 pairs vs full FT ISG-high monocyte (positive control) 0.645 0.368 -0.278 -0.720 0.162 2000 -0.720 0.162 n.s.
185
+ main 58 pairs vs full FT ISG-high T 0.412 0.449 0.037 -0.585 0.638 2000 -0.585 0.638 n.s.
186
+ main 58 pairs vs full FT DN2 / ABC B 0.490 0.485 -0.005 -0.702 0.686 2000 -0.702 0.686 n.s.
187
+ main 58 pairs vs full FT HSPC -0.068 0.063 0.131 -0.450 0.703 2000 -0.450 0.703 n.s.
188
+ main 58 pairs vs full FT Cytotoxic CD4 T 0.578 0.816 0.237 -0.154 0.720 2000 -0.154 0.720 n.s.
189
+ main 58 pairs vs full FT Granulocyte-like (LDG) 0.158 0.458 0.300 -0.171 0.781 2000 -0.171 0.781 n.s.
190
+ main 58 pairs vs full FT Platelet signal in monocytes (negative control) 0.549 0.172 -0.377 -1.058 0.272 2000 -1.058 0.272 n.s.
191
+ main 58 pairs vs full FT MEAN13 0.274 0.428 0.154 -0.008 0.313 2000 -0.008 0.313 n.s.
192
+ main recipes C1Q-high monocyte (reference) 0.490 0.548 0.058 -0.388 0.539 2000 -0.388 0.539 n.s.
193
+ main recipes Cycling T/NK 0.222 0.390 0.168 -0.461 0.728 2000 -0.461 0.728 n.s.
194
+ main recipes Cycling activated T (CD38/HLA-DR) -0.190 0.066 0.256 -0.280 0.822 2000 -0.280 0.822 n.s.
195
+ main recipes Proliferating T (label) 0.620 0.640 0.020 -0.377 0.439 2000 -0.377 0.439 n.s.
196
+ main recipes Plasmablast (label) 0.167 0.132 -0.036 -0.745 0.705 2000 -0.745 0.705 n.s.
197
+ main recipes Plasmablast (markers) 0.193 0.321 0.128 -0.485 0.782 2000 -0.485 0.782 n.s.
198
+ main recipes MS1 monocyte (IL1R2+) 0.897 0.875 -0.022 -0.284 0.218 2000 -0.284 0.218 n.s.
199
+ main recipes Cycling monocyte (Ye 2026) -0.033 0.262 0.295 -0.431 1.021 2000 -0.431 1.021 n.s.
200
+ main recipes ISG-high monocyte (positive control) 0.313 0.523 0.211 -0.328 0.807 2000 -0.328 0.807 n.s.
201
+ main recipes ISG-high T 0.441 0.526 0.085 -0.465 0.569 2000 -0.465 0.569 n.s.
202
+ main recipes DN2 / ABC B 0.595 0.400 -0.195 -0.754 0.370 2000 -0.754 0.370 n.s.
203
+ main recipes HSPC 0.382 -0.161 -0.543 -1.179 0.233 2000 -1.179 0.233 n.s.
204
+ main recipes Cytotoxic CD4 T 0.392 0.845 0.453 -0.010 1.001 2000 -0.010 1.001 n.s.
205
+ main recipes Granulocyte-like (LDG) 0.464 0.336 -0.128 -0.655 0.447 2000 -0.655 0.447 n.s.
206
+ main recipes Platelet signal in monocytes (negative control) 0.129 0.064 -0.066 -0.767 0.535 2000 -0.767 0.535 n.s.
207
+ main recipes MEAN13 0.357 0.398 0.041 -0.106 0.217 2000 -0.106 0.217 n.s.
208
+ reference zs ref: 5 pairs C1Q-high monocyte (reference) 0.409 0.315 -0.094 -0.802 0.541 1999 -0.802 0.541 n.s.
209
+ reference zs ref: 5 pairs Cycling T/NK -0.107 0.244 0.351 -0.522 1.109 2000 -0.522 1.109 n.s.
210
+ reference zs ref: 5 pairs Cycling activated T (CD38/HLA-DR) -0.549 -0.197 0.352 -0.233 0.975 2000 -0.233 0.975 n.s.
211
+ reference zs ref: 5 pairs Proliferating T (label) 0.431 0.287 -0.145 -0.819 0.536 2000 -0.819 0.536 n.s.
212
+ reference zs ref: 5 pairs Plasmablast (label) 0.386 0.162 -0.225 -0.914 0.483 2000 -0.914 0.483 n.s.
213
+ reference zs ref: 5 pairs Plasmablast (markers) 0.422 0.250 -0.172 -0.767 0.350 2000 -0.767 0.350 n.s.
214
+ reference zs ref: 5 pairs MS1 monocyte (IL1R2+) 0.782 0.790 0.009 -0.341 0.397 2000 -0.341 0.397 n.s.
215
+ reference zs ref: 5 pairs Cycling monocyte (Ye 2026) 0.178 0.387 0.210 -0.583 0.953 2000 -0.583 0.953 n.s.
216
+ reference zs ref: 5 pairs ISG-high monocyte (positive control) -0.218 0.201 0.419 0.027 0.826 2000 0.027 0.826 pretrained tracks better
217
+ reference zs ref: 5 pairs ISG-high T 0.007 -0.123 -0.131 -0.969 0.744 2000 -0.969 0.744 n.s.
218
+ reference zs ref: 5 pairs DN2 / ABC B 0.326 -0.069 -0.395 -0.890 0.208 2000 -0.890 0.208 n.s.
219
+ reference zs ref: 5 pairs HSPC 0.135 0.428 0.293 -0.512 1.030 2000 -0.512 1.030 n.s.
220
+ reference zs ref: 5 pairs Cytotoxic CD4 T -0.395 0.263 0.657 -0.057 1.251 2000 -0.057 1.251 n.s.
221
+ reference zs ref: 5 pairs Granulocyte-like (LDG) 0.403 0.259 -0.144 -0.781 0.378 2000 -0.781 0.378 n.s.
222
+ reference zs ref: 5 pairs Platelet signal in monocytes (negative control) -0.375 0.248 0.623 0.030 1.166 2000 0.030 1.166 pretrained tracks better
223
+ reference zs ref: 5 pairs MEAN13 0.187 0.231 0.044 -0.159 0.226 1999 -0.159 0.226 n.s.
224
+ reference zs ref: 58 pairs C1Q-high monocyte (reference) 0.509 0.315 -0.193 -0.631 0.213 1999 -0.631 0.213 n.s.
225
+ reference zs ref: 58 pairs Cycling T/NK -0.171 0.244 0.415 -0.480 1.240 2000 -0.480 1.240 n.s.
226
+ reference zs ref: 58 pairs Cycling activated T (CD38/HLA-DR) -0.569 -0.197 0.372 -0.309 1.080 2000 -0.309 1.080 n.s.
227
+ reference zs ref: 58 pairs Proliferating T (label) 0.488 0.287 -0.201 -0.984 0.635 2000 -0.984 0.635 n.s.
228
+ reference zs ref: 58 pairs Plasmablast (label) 0.432 0.162 -0.270 -0.735 0.205 2000 -0.735 0.205 n.s.
229
+ reference zs ref: 58 pairs Plasmablast (markers) 0.200 0.250 0.050 -0.525 0.581 2000 -0.525 0.581 n.s.
230
+ reference zs ref: 58 pairs MS1 monocyte (IL1R2+) 0.914 0.790 -0.123 -0.444 0.120 2000 -0.444 0.120 n.s.
231
+ reference zs ref: 58 pairs Cycling monocyte (Ye 2026) 0.190 0.387 0.197 -0.520 0.827 2000 -0.520 0.827 n.s.
232
+ reference zs ref: 58 pairs ISG-high monocyte (positive control) 0.645 0.201 -0.444 -1.083 0.236 2000 -1.083 0.236 n.s.
233
+ reference zs ref: 58 pairs ISG-high T 0.412 -0.123 -0.535 -1.331 0.353 2000 -1.331 0.353 n.s.
234
+ reference zs ref: 58 pairs DN2 / ABC B 0.490 -0.069 -0.559 -1.289 0.346 2000 -1.289 0.346 n.s.
235
+ reference zs ref: 58 pairs HSPC -0.068 0.428 0.496 -0.297 1.154 2000 -0.297 1.154 n.s.
236
+ reference zs ref: 58 pairs Cytotoxic CD4 T 0.578 0.263 -0.316 -0.795 0.160 2000 -0.795 0.160 n.s.
237
+ reference zs ref: 58 pairs Granulocyte-like (LDG) 0.158 0.259 0.101 -0.565 0.714 2000 -0.565 0.714 n.s.
238
+ reference zs ref: 58 pairs Platelet signal in monocytes (negative control) 0.549 0.248 -0.301 -0.972 0.394 2000 -0.972 0.394 n.s.
239
+ reference zs ref: 58 pairs MEAN13 0.274 0.231 -0.044 -0.295 0.198 1999 -0.295 0.198 n.s.
240
+ reference zs ref: recipes C1Q-high monocyte (reference) 0.490 0.315 -0.174 -0.709 0.265 1999 -0.709 0.265 n.s.
241
+ reference zs ref: recipes Cycling T/NK 0.222 0.244 0.022 -0.728 0.768 2000 -0.728 0.768 n.s.
242
+ reference zs ref: recipes Cycling activated T (CD38/HLA-DR) -0.190 -0.197 -0.007 -0.616 0.573 2000 -0.616 0.573 n.s.
243
+ reference zs ref: recipes Proliferating T (label) 0.620 0.287 -0.333 -0.936 0.343 2000 -0.936 0.343 n.s.
244
+ reference zs ref: recipes Plasmablast (label) 0.167 0.162 -0.006 -0.488 0.518 2000 -0.488 0.518 n.s.
245
+ reference zs ref: recipes Plasmablast (markers) 0.193 0.250 0.057 -0.554 0.662 2000 -0.554 0.662 n.s.
246
+ reference zs ref: recipes MS1 monocyte (IL1R2+) 0.897 0.790 -0.106 -0.484 0.208 2000 -0.484 0.208 n.s.
247
+ reference zs ref: recipes Cycling monocyte (Ye 2026) -0.033 0.387 0.420 -0.318 1.146 2000 -0.318 1.146 n.s.
248
+ reference zs ref: recipes ISG-high monocyte (positive control) 0.313 0.201 -0.112 -0.901 0.703 2000 -0.901 0.703 n.s.
249
+ reference zs ref: recipes ISG-high T 0.441 -0.123 -0.565 -1.120 0.005 2000 -1.120 0.005 n.s.
250
+ reference zs ref: recipes DN2 / ABC B 0.595 -0.069 -0.663 -1.201 0.134 2000 -1.201 0.134 n.s.
251
+ reference zs ref: recipes HSPC 0.382 0.428 0.046 -0.437 0.456 2000 -0.437 0.456 n.s.
252
+ reference zs ref: recipes Cytotoxic CD4 T 0.392 0.263 -0.129 -0.632 0.382 2000 -0.632 0.382 n.s.
253
+ reference zs ref: recipes Granulocyte-like (LDG) 0.464 0.259 -0.205 -0.861 0.469 2000 -0.861 0.469 n.s.
254
+ reference zs ref: recipes Platelet signal in monocytes (negative control) 0.129 0.248 0.118 -0.475 0.706 2000 -0.475 0.706 n.s.
255
+ reference zs ref: recipes MEAN13 0.357 0.231 -0.126 -0.337 0.117 1999 -0.337 0.117 n.s./home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_main.py:287: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
256
+ E = CT[CT.eligible.fillna(False).astype(bool)]
257
+
258
+ verdict n.s. pretrained tracks better
259
+ kind comparison
260
+ main 5 pairs 12 1
261
+ 58 pairs vs LoRA 13 0
262
+ 58 pairs vs full FT 12 1
263
+ recipes 13 0
264
+ reference zs ref: 5 pairs 13 0
265
+ zs ref: 58 pairs 13 0
266
+ zs ref: recipes 13 0
267
+ groups: {'adult_sepsis': 9, 'ped_sepsis': 3, 'adult_HC': 2, 'adult_ICU_ctrl': 1, 'ped_HC': 1, 'ped_ICU_ctrl': 1}
268
+ [check] contrasts: max |obs_diff - file| = 7.11e-15, max |gen_diff - file| = 1.78e-15
269
+ eligible pairs: 25
270
+ loss_type flat kept reversed_strong reversed_weak n
271
+ arm
272
+ zs__raw 0 21 1 3 25
273
+ lora_n5__raw 0 23 2 0 25
274
+ scratch_n5__raw 1 17 3 4 25
275
+ real_lora__raw 0 20 0 5 25
276
+ real_full__raw 0 20 0 5 25
277
+ scratch_full__raw 0 19 0 6 25
278
+ lora_recipe__raw 0 23 0 2 25
279
+ scratch_recipe__raw 0 16 0 9 25
280
+ arm state contrast obs_diff gen_diff loss_type gen_over_obs_diff
281
+ lora_n5__raw C1Q-high monocyte (reference) adult sepsis vs adult HC 4.716 -0.722 reversed_strong -0.153
282
+ lora_n5__raw Proliferating T (label) adult sepsis vs adult HC -0.509 0.631 reversed_strong -1.240
283
+ lora_recipe__raw Granulocyte-like (LDG) adult sepsis vs adult HC 3.754 -0.044 reversed_weak -0.012
284
+ lora_recipe__raw Granulocyte-like (LDG) all sepsis vs all controls 3.382 -0.016 reversed_weak -0.005
285
+ real_full__raw DN2 / ABC B paediatric sepsis vs paediatric HC 5.284 -0.416 reversed_weak -0.079
286
+ real_full__raw Granulocyte-like (LDG) adult sepsis vs adult HC 3.805 -0.122 reversed_weak -0.032
287
+ real_full__raw Granulocyte-like (LDG) all sepsis vs all controls 3.355 -0.081 reversed_weak -0.024
288
+ real_full__raw ISG-high T paediatric sepsis vs paediatric HC 1.336 -0.063 reversed_weak -0.047
289
+ real_full__raw Proliferating T (label) adult sepsis vs adult HC -0.509 0.001 reversed_weak -0.003
290
+ real_lora__raw Cycling monocyte (Ye 2026) adult sepsis vs adult HC 4.376 -0.087 reversed_weak -0.020
291
+ real_lora__raw Cycling monocyte (Ye 2026) all sepsis vs all controls 5.325 -0.113 reversed_weak -0.021
292
+ real_lora__raw Granulocyte-like (LDG) adult sepsis vs adult HC 3.780 -0.215 reversed_weak -0.057
293
+ real_lora__raw Granulocyte-like (LDG) all sepsis vs all controls 3.418 -0.030 reversed_weak -0.009
294
+ real_lora__raw ISG-high T paediatric sepsis vs paediatric HC 1.517 -0.043 reversed_weak -0.028
295
+ scratch_full__raw Cycling monocyte (Ye 2026) paediatric sepsis vs paediatric HC 10.621 -0.206 reversed_weak -0.019
296
+ scratch_full__raw Cycling monocyte (Ye 2026) all sepsis vs all controls 5.603 -0.039 reversed_weak -0.007
297
+ scratch_full__raw Granulocyte-like (LDG) adult sepsis vs adult HC 3.700 -0.130 reversed_weak -0.035
298
+ scratch_full__raw Granulocyte-like (LDG) all sepsis vs all controls 3.344 -0.046 reversed_weak -0.014
299
+ scratch_full__raw ISG-high T paediatric sepsis vs paediatric HC 1.556 -0.308 reversed_weak -0.198
300
+ scratch_full__raw ISG-high T all sepsis vs all controls 1.305 -0.166 reversed_weak -0.127
301
+ scratch_n5__raw C1Q-high monocyte (reference) all sepsis vs all controls 5.965 -0.010 reversed_weak -0.002
302
+ scratch_n5__raw Cycling monocyte (Ye 2026) paediatric sepsis vs paediatric HC 10.755 0.000 flat 0.000
303
+ scratch_n5__raw Cycling monocyte (Ye 2026) all sepsis vs all controls 5.614 -0.050 reversed_weak -0.009
304
+ scratch_n5__raw Cytotoxic CD4 T adult sepsis vs adult HC -3.111 1.697 reversed_strong -0.545
305
+ scratch_n5__raw Cytotoxic CD4 T all sepsis vs all controls -0.875 0.998 reversed_strong -1.141
306
+ scratch_n5__raw DN2 / ABC B adult sepsis vs adult HC -3.164 4.740 reversed_strong -1.498
307
+ scratch_n5__raw ISG-high T all sepsis vs all controls 1.366 -0.033 reversed_weak -0.024
308
+ scratch_n5__raw Plasmablast (label) adult sepsis vs adult HC 0.574 -0.015 reversed_weak -0.026
309
+ scratch_recipe__raw Cycling monocyte (Ye 2026) adult sepsis vs adult HC 4.549 -0.430 reversed_weak -0.095
310
+ scratch_recipe__raw Cycling monocyte (Ye 2026) all sepsis vs all controls 5.564 -0.043 reversed_weak -0.008
311
+ scratch_recipe__raw Granulocyte-like (LDG) adult sepsis vs adult HC 3.703 -0.181 reversed_weak -0.049
312
+ scratch_recipe__raw Granulocyte-like (LDG) all sepsis vs all controls 3.320 -0.022 reversed_weak -0.007
313
+ scratch_recipe__raw ISG-high T paediatric sepsis vs paediatric HC 1.645 -0.047 reversed_weak -0.029
314
+ scratch_recipe__raw ISG-high T all sepsis vs all controls 1.285 -0.065 reversed_weak -0.051
315
+ scratch_recipe__raw Plasmablast (label) adult sepsis vs adult HC 0.574 -0.030 reversed_weak -0.052
316
+ scratch_recipe__raw Plasmablast (label) all sepsis vs all controls 0.563 -0.020 reversed_weak -0.035
317
+ scratch_recipe__raw Plasmablast (markers) adult sepsis vs adult HC 0.657 -0.007 reversed_weak -0.011
318
+ arm
319
+ zs__raw 0.067
320
+ lora_n5__raw 0.185
321
+ scratch_n5__raw 0.052
322
+ real_lora__raw 0.272
323
+ real_full__raw 0.379
324
+ scratch_full__raw 0.381
325
+ lora_recipe__raw 0.317
326
+ scratch_recipe__raw 0.167
327
+ Name: abs_ratio, dtype: float64
paper-releases/pbisc-diffusion/updates/20261005T142225Z-rare-states-scratch-vs-pretrained/diffusion/dataset/server_1/model8/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_sensitivity.log ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ analysis kind comparison subset n_states D ci_lo ci_hi bc_lo bc_hi
2
+ fidelity mean D main 5 pairs 13 rare states 13 0.224 -0.078 0.406 0.010 0.458
3
+ fidelity mean D main 5 pairs 11 marker states (drop 2 label states) 11 0.410 -0.001 0.649 0.124 0.736
4
+ fidelity mean D main 5 pairs 10 states (drop 2 label states + LDG) 10 0.574 0.128 0.810 0.265 0.888
5
+ fidelity mean D main 5 pairs drop double failures (both outside 0.5-2x) 8 0.108 -0.146 0.264 -0.049 0.339
6
+ fidelity mean D main 5 pairs drop label states + double failures 6 0.410 0.007 0.618 0.173 0.720
7
+ fidelity mean D main 58 pairs vs LoRA 13 rare states 13 0.019 -0.350 0.255 -0.238 0.379
8
+ fidelity mean D main 58 pairs vs LoRA 11 marker states (drop 2 label states) 11 0.194 -0.232 0.422 -0.034 0.591
9
+ fidelity mean D main 58 pairs vs LoRA 10 states (drop 2 label states + LDG) 10 0.230 -0.191 0.440 0.021 0.639
10
+ fidelity mean D main 58 pairs vs LoRA drop double failures (both outside 0.5-2x) 8 -0.019 -0.532 0.279 -0.379 0.388
11
+ fidelity mean D main 58 pairs vs LoRA drop label states + double failures 6 0.288 -0.361 0.543 0.004 0.855
12
+ fidelity mean D main 58 pairs vs full FT 13 rare states 13 0.137 -0.138 0.406 -0.129 0.413
13
+ fidelity mean D main 58 pairs vs full FT 11 marker states (drop 2 label states) 11 0.354 0.015 0.622 0.075 0.700
14
+ fidelity mean D main 58 pairs vs full FT 10 states (drop 2 label states + LDG) 10 0.395 0.047 0.674 0.108 0.754
15
+ fidelity mean D main 58 pairs vs full FT drop double failures (both outside 0.5-2x) 9 0.025 -0.336 0.365 -0.320 0.376
16
+ fidelity mean D main 58 pairs vs full FT drop label states + double failures 7 0.334 -0.111 0.660 -0.041 0.737
17
+ fidelity mean D main recipes 13 rare states 13 -0.089 -0.379 0.178 -0.396 0.164
18
+ fidelity mean D main recipes 11 marker states (drop 2 label states) 11 0.055 -0.300 0.314 -0.256 0.345
19
+ fidelity mean D main recipes 10 states (drop 2 label states + LDG) 10 0.180 -0.169 0.443 -0.114 0.481
20
+ fidelity mean D main recipes drop double failures (both outside 0.5-2x) 8 0.064 -0.263 0.375 -0.278 0.369
21
+ fidelity mean D main recipes drop label states + double failures 6 0.378 -0.100 0.672 0.026 0.754
22
+ fidelity mean D reference zs ref: 5 pairs 13 rare states 13 -0.239 -0.515 0.005 -0.507 0.008
23
+ fidelity mean D reference zs ref: 5 pairs 11 marker states (drop 2 label states) 11 -0.108 -0.439 0.168 -0.428 0.180
24
+ fidelity mean D reference zs ref: 5 pairs 10 states (drop 2 label states + LDG) 10 -0.130 -0.530 0.172 -0.503 0.195
25
+ fidelity mean D reference zs ref: 5 pairs drop double failures (both outside 0.5-2x) 9 -0.550 -0.866 -0.242 -0.866 -0.241
26
+ fidelity mean D reference zs ref: 5 pairs drop label states + double failures 7 -0.432 -0.833 -0.059 -0.819 -0.044
27
+ fidelity mean D reference zs ref: 58 pairs 13 rare states 13 -0.350 -0.660 -0.128 -0.619 -0.101
28
+ fidelity mean D reference zs ref: 58 pairs 11 marker states (drop 2 label states) 11 -0.227 -0.614 0.060 -0.546 0.106
29
+ fidelity mean D reference zs ref: 58 pairs 10 states (drop 2 label states + LDG) 10 -0.418 -0.849 -0.122 -0.762 -0.066
30
+ fidelity mean D reference zs ref: 58 pairs drop double failures (both outside 0.5-2x) 7 -0.127 -0.454 0.053 -0.350 0.120
31
+ fidelity mean D reference zs ref: 58 pairs drop label states + double failures 5 0.234 -0.303 0.563 -0.122 0.720
32
+ fidelity mean D reference zs ref: recipes 13 rare states 13 -0.457 -0.729 -0.238 -0.748 -0.251
33
+ fidelity mean D reference zs ref: recipes 11 marker states (drop 2 label states) 11 -0.332 -0.682 -0.091 -0.653 -0.067
34
+ fidelity mean D reference zs ref: recipes 10 states (drop 2 label states + LDG) 10 -0.490 -0.884 -0.218 -0.844 -0.174
35
+ fidelity mean D reference zs ref: recipes drop double failures (both outside 0.5-2x) 8 -0.687 -0.982 -0.483 -1.005 -0.490
36
+ fidelity mean D reference zs ref: recipes drop label states + double failures 6 -0.534 -1.004 -0.241 -0.891 -0.179
37
+ Spearman mean diff (pre - scratch) main 5 pairs 13 rare states 13 0.109 -0.080 0.294 -0.079 0.295
38
+ Spearman mean diff (pre - scratch) main 58 pairs vs LoRA 13 rare states 13 0.019 -0.121 0.186 -0.116 0.200
39
+ Spearman mean diff (pre - scratch) main 58 pairs vs full FT 13 rare states 13 0.154 -0.008 0.313 0.003 0.333
40
+ Spearman mean diff (pre - scratch) main recipes 13 rare states 13 0.041 -0.106 0.217 -0.102 0.232
41
+ Spearman mean diff (pre - scratch) reference zs ref: 5 pairs 13 rare states 13 0.044 -0.159 0.226 -0.156 0.228
42
+ Spearman mean diff (pre - scratch) reference zs ref: 58 pairs 13 rare states 13 -0.044 -0.295 0.198 -0.296 0.194
43
+ Spearman mean diff (pre - scratch) reference zs ref: recipes 13 rare states 13 -0.126 -0.337 0.117 -0.358 0.098
44
+ comparison subset dropped
45
+ 5 pairs drop double failures (both outside 0.5-2x) Cycling activated T (CD38/HLA-DR); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
46
+ 5 pairs drop label states + double failures Cycling activated T (CD38/HLA-DR); Proliferating T (label); Plasmablast (label); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
47
+ 58 pairs vs LoRA drop double failures (both outside 0.5-2x) Cycling activated T (CD38/HLA-DR); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
48
+ 58 pairs vs LoRA drop label states + double failures Cycling activated T (CD38/HLA-DR); Proliferating T (label); Plasmablast (label); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
49
+ 58 pairs vs full FT drop double failures (both outside 0.5-2x) MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
50
+ 58 pairs vs full FT drop label states + double failures Proliferating T (label); Plasmablast (label); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
51
+ recipes drop double failures (both outside 0.5-2x) Cycling activated T (CD38/HLA-DR); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); DN2 / ABC B; Granulocyte-like (LDG)
52
+ recipes drop label states + double failures Cycling activated T (CD38/HLA-DR); Proliferating T (label); Plasmablast (label); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); DN2 / ABC B; Granulocyte-like (LDG)
53
+ zs ref: 5 pairs drop double failures (both outside 0.5-2x) MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
54
+ zs ref: 5 pairs drop label states + double failures Proliferating T (label); Plasmablast (label); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
55
+ zs ref: 58 pairs drop double failures (both outside 0.5-2x) C1Q-high monocyte (reference); Cycling T/NK; MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
56
+ zs ref: 58 pairs drop label states + double failures C1Q-high monocyte (reference); Cycling T/NK; Proliferating T (label); Plasmablast (label); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
57
+ zs ref: recipes drop double failures (both outside 0.5-2x) Cycling T/NK; MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)
58
+ zs ref: recipes drop label states + double failures Cycling T/NK; Proliferating T (label); Plasmablast (label); MS1 monocyte (IL1R2+); Cycling monocyte (Ye 2026); ISG-high T; Granulocyte-like (LDG)/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_sensitivity.py:127: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
59
+ E = CT[CT.eligible.fillna(False).astype(bool)]
60
+
61
+ comparison scratch_arm pretrained_arm n_eligible kept_scratch kept_pretrained pre_only scratch_only exact_sign_p_two_sided
62
+ 5 pairs scratch_n5__raw lora_n5__raw 25 17 23 8 2 0.1094
63
+ 58 pairs vs LoRA scratch_full__raw real_lora__raw 25 19 20 2 1 1.0000
64
+ 58 pairs vs full FT scratch_full__raw real_full__raw 25 19 20 3 2 1.0000
65
+ recipes scratch_recipe__raw lora_recipe__raw 25 16 23 7 0 0.0156
66
+ zs ref: 5 pairs scratch_n5__raw zs__raw 25 17 21 7 3 0.3438
67
+ zs ref: 58 pairs scratch_full__raw zs__raw 25 19 21 5 3 0.7266
68
+ zs ref: recipes scratch_recipe__raw zs__raw 25 16 21 7 2 0.1797
paper-releases/pbisc-diffusion/updates/20261005T142225Z-rare-states-scratch-vs-pretrained/diffusion/metadata/request.json ADDED
@@ -0,0 +1,1087 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "assets": [
3
+ {
4
+ "host": "server_1",
5
+ "kind": "code",
6
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_audit.py",
7
+ "state": "completed"
8
+ },
9
+ {
10
+ "host": "server_1",
11
+ "kind": "code",
12
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_analysis.py",
13
+ "state": "completed"
14
+ },
15
+ {
16
+ "host": "server_1",
17
+ "kind": "code",
18
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_analysis.py",
19
+ "state": "completed"
20
+ },
21
+ {
22
+ "host": "server_1",
23
+ "kind": "code",
24
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_analysis.py",
25
+ "state": "completed"
26
+ },
27
+ {
28
+ "host": "server_1",
29
+ "kind": "code",
30
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_extra_script.py",
31
+ "state": "completed"
32
+ },
33
+ {
34
+ "host": "server_1",
35
+ "kind": "code",
36
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_obsdepth_script.py",
37
+ "state": "completed"
38
+ },
39
+ {
40
+ "host": "server_1",
41
+ "kind": "code",
42
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_script.py",
43
+ "state": "completed"
44
+ },
45
+ {
46
+ "host": "server_1",
47
+ "kind": "code",
48
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_donorweight.py",
49
+ "state": "completed"
50
+ },
51
+ {
52
+ "host": "server_1",
53
+ "kind": "code",
54
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_label_marker.py",
55
+ "state": "completed"
56
+ },
57
+ {
58
+ "host": "server_1",
59
+ "kind": "code",
60
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_main.py",
61
+ "state": "completed"
62
+ },
63
+ {
64
+ "host": "server_1",
65
+ "kind": "code",
66
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_sensitivity.py",
67
+ "state": "completed"
68
+ },
69
+ {
70
+ "host": "server_1",
71
+ "kind": "code",
72
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_analysis.py",
73
+ "state": "completed"
74
+ },
75
+ {
76
+ "host": "server_1",
77
+ "kind": "code",
78
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_label_marker_check.py",
79
+ "state": "completed"
80
+ },
81
+ {
82
+ "host": "server_1",
83
+ "kind": "code",
84
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/tools/run_loco_extract.sh",
85
+ "state": "completed"
86
+ },
87
+ {
88
+ "host": "server_1",
89
+ "kind": "code",
90
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/tools/sepsis_states.py",
91
+ "state": "completed"
92
+ },
93
+ {
94
+ "host": "server_1",
95
+ "kind": "document",
96
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/README.md",
97
+ "state": "completed"
98
+ },
99
+ {
100
+ "host": "server_1",
101
+ "kind": "document",
102
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/REPORT.md",
103
+ "state": "completed"
104
+ },
105
+ {
106
+ "host": "server_1",
107
+ "kind": "table",
108
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_collapse_composition.csv",
109
+ "state": "completed"
110
+ },
111
+ {
112
+ "host": "server_1",
113
+ "kind": "table",
114
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_collapse_markers.csv",
115
+ "state": "completed"
116
+ },
117
+ {
118
+ "host": "server_1",
119
+ "kind": "table",
120
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_collapse_markers_pergene.csv",
121
+ "state": "completed"
122
+ },
123
+ {
124
+ "host": "server_1",
125
+ "kind": "table",
126
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_collapse_states.csv",
127
+ "state": "completed"
128
+ },
129
+ {
130
+ "host": "server_1",
131
+ "kind": "table",
132
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_composition.csv",
133
+ "state": "completed"
134
+ },
135
+ {
136
+ "host": "server_1",
137
+ "kind": "table",
138
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_controls.csv",
139
+ "state": "completed"
140
+ },
141
+ {
142
+ "host": "server_1",
143
+ "kind": "table",
144
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_decomposition.csv",
145
+ "state": "completed"
146
+ },
147
+ {
148
+ "host": "server_1",
149
+ "kind": "table",
150
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_depth.csv",
151
+ "state": "completed"
152
+ },
153
+ {
154
+ "host": "server_1",
155
+ "kind": "table",
156
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_depthmatch.csv",
157
+ "state": "completed"
158
+ },
159
+ {
160
+ "host": "server_1",
161
+ "kind": "table",
162
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_depthmatch_pairs.csv",
163
+ "state": "completed"
164
+ },
165
+ {
166
+ "host": "server_1",
167
+ "kind": "table",
168
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_depthmatch_per_donor.csv",
169
+ "state": "completed"
170
+ },
171
+ {
172
+ "host": "server_1",
173
+ "kind": "table",
174
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_depthmatch_targets.csv",
175
+ "state": "completed"
176
+ },
177
+ {
178
+ "host": "server_1",
179
+ "kind": "table",
180
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_groupsizes.csv",
181
+ "state": "completed"
182
+ },
183
+ {
184
+ "host": "server_1",
185
+ "kind": "table",
186
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_ordering_verdict.csv",
187
+ "state": "completed"
188
+ },
189
+ {
190
+ "host": "server_1",
191
+ "kind": "table",
192
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_parent_pools.csv",
193
+ "state": "completed"
194
+ },
195
+ {
196
+ "host": "server_1",
197
+ "kind": "table",
198
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_smalln.csv",
199
+ "state": "completed"
200
+ },
201
+ {
202
+ "host": "server_1",
203
+ "kind": "table",
204
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/confound_validation.csv",
205
+ "state": "completed"
206
+ },
207
+ {
208
+ "host": "server_1",
209
+ "kind": "table",
210
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_arm_ci.csv",
211
+ "state": "completed"
212
+ },
213
+ {
214
+ "host": "server_1",
215
+ "kind": "table",
216
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_bootstrap.csv",
217
+ "state": "completed"
218
+ },
219
+ {
220
+ "host": "server_1",
221
+ "kind": "table",
222
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_bootstrap_aggregate.csv",
223
+ "state": "completed"
224
+ },
225
+ {
226
+ "host": "server_1",
227
+ "kind": "table",
228
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_contrast_counts.csv",
229
+ "state": "completed"
230
+ },
231
+ {
232
+ "host": "server_1",
233
+ "kind": "table",
234
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_contrasts.csv",
235
+ "state": "completed"
236
+ },
237
+ {
238
+ "host": "server_1",
239
+ "kind": "table",
240
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_depth_check.csv",
241
+ "state": "completed"
242
+ },
243
+ {
244
+ "host": "server_1",
245
+ "kind": "table",
246
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_spearman.csv",
247
+ "state": "completed"
248
+ },
249
+ {
250
+ "host": "server_1",
251
+ "kind": "table",
252
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_state_table.csv",
253
+ "state": "completed"
254
+ },
255
+ {
256
+ "host": "server_1",
257
+ "kind": "table",
258
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_aggregate.csv",
259
+ "state": "completed"
260
+ },
261
+ {
262
+ "host": "server_1",
263
+ "kind": "table",
264
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_comparisons.csv",
265
+ "state": "completed"
266
+ },
267
+ {
268
+ "host": "server_1",
269
+ "kind": "table",
270
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_contrast_counts.csv",
271
+ "state": "completed"
272
+ },
273
+ {
274
+ "host": "server_1",
275
+ "kind": "table",
276
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_contrast_paired_compression.csv",
277
+ "state": "completed"
278
+ },
279
+ {
280
+ "host": "server_1",
281
+ "kind": "table",
282
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_contrasts.csv",
283
+ "state": "completed"
284
+ },
285
+ {
286
+ "host": "server_1",
287
+ "kind": "table",
288
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_depth_detection.csv",
289
+ "state": "completed"
290
+ },
291
+ {
292
+ "host": "server_1",
293
+ "kind": "table",
294
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_depth_readouts.csv",
295
+ "state": "completed"
296
+ },
297
+ {
298
+ "host": "server_1",
299
+ "kind": "table",
300
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_detmatched_aggregate.csv",
301
+ "state": "completed"
302
+ },
303
+ {
304
+ "host": "server_1",
305
+ "kind": "table",
306
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_detmatched_comparisons.csv",
307
+ "state": "completed"
308
+ },
309
+ {
310
+ "host": "server_1",
311
+ "kind": "table",
312
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_detmatched_ratios.csv",
313
+ "state": "completed"
314
+ },
315
+ {
316
+ "host": "server_1",
317
+ "kind": "table",
318
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_label_validity.csv",
319
+ "state": "completed"
320
+ },
321
+ {
322
+ "host": "server_1",
323
+ "kind": "table",
324
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_per_fold.csv",
325
+ "state": "completed"
326
+ },
327
+ {
328
+ "host": "server_1",
329
+ "kind": "table",
330
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_ratios.csv",
331
+ "state": "completed"
332
+ },
333
+ {
334
+ "host": "server_1",
335
+ "kind": "table",
336
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_spearman.csv",
337
+ "state": "completed"
338
+ },
339
+ {
340
+ "host": "server_1",
341
+ "kind": "table",
342
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_spearman_diff.csv",
343
+ "state": "completed"
344
+ },
345
+ {
346
+ "host": "server_1",
347
+ "kind": "table",
348
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_arm_mean_abslog2.csv",
349
+ "state": "completed"
350
+ },
351
+ {
352
+ "host": "server_1",
353
+ "kind": "table",
354
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_composition.csv",
355
+ "state": "completed"
356
+ },
357
+ {
358
+ "host": "server_1",
359
+ "kind": "table",
360
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_composition_arms.csv",
361
+ "state": "completed"
362
+ },
363
+ {
364
+ "host": "server_1",
365
+ "kind": "table",
366
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_concentration.csv",
367
+ "state": "completed"
368
+ },
369
+ {
370
+ "host": "server_1",
371
+ "kind": "table",
372
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_contrasts.csv",
373
+ "state": "completed"
374
+ },
375
+ {
376
+ "host": "server_1",
377
+ "kind": "table",
378
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_depth.csv",
379
+ "state": "completed"
380
+ },
381
+ {
382
+ "host": "server_1",
383
+ "kind": "table",
384
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_depth_arms.csv",
385
+ "state": "completed"
386
+ },
387
+ {
388
+ "host": "server_1",
389
+ "kind": "table",
390
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_donormean.csv",
391
+ "state": "completed"
392
+ },
393
+ {
394
+ "host": "server_1",
395
+ "kind": "table",
396
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_folds.csv",
397
+ "state": "completed"
398
+ },
399
+ {
400
+ "host": "server_1",
401
+ "kind": "table",
402
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_labelcheck.csv",
403
+ "state": "completed"
404
+ },
405
+ {
406
+ "host": "server_1",
407
+ "kind": "table",
408
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_lodo.csv",
409
+ "state": "completed"
410
+ },
411
+ {
412
+ "host": "server_1",
413
+ "kind": "table",
414
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_repro.csv",
415
+ "state": "completed"
416
+ },
417
+ {
418
+ "host": "server_1",
419
+ "kind": "table",
420
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_spearman.csv",
421
+ "state": "completed"
422
+ },
423
+ {
424
+ "host": "server_1",
425
+ "kind": "table",
426
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_stateset.csv",
427
+ "state": "completed"
428
+ },
429
+ {
430
+ "host": "server_1",
431
+ "kind": "table",
432
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_stateset_by_scheme.csv",
433
+ "state": "completed"
434
+ },
435
+ {
436
+ "host": "server_1",
437
+ "kind": "table",
438
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_D_per_state.csv",
439
+ "state": "completed"
440
+ },
441
+ {
442
+ "host": "server_1",
443
+ "kind": "table",
444
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_aggregate.csv",
445
+ "state": "completed"
446
+ },
447
+ {
448
+ "host": "server_1",
449
+ "kind": "table",
450
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_contrast_counts.csv",
451
+ "state": "completed"
452
+ },
453
+ {
454
+ "host": "server_1",
455
+ "kind": "table",
456
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_contrasts.csv",
457
+ "state": "completed"
458
+ },
459
+ {
460
+ "host": "server_1",
461
+ "kind": "table",
462
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_depth.csv",
463
+ "state": "completed"
464
+ },
465
+ {
466
+ "host": "server_1",
467
+ "kind": "table",
468
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_extra_contrast_compression.csv",
469
+ "state": "completed"
470
+ },
471
+ {
472
+ "host": "server_1",
473
+ "kind": "table",
474
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_extra_contrast_pairs.csv",
475
+ "state": "completed"
476
+ },
477
+ {
478
+ "host": "server_1",
479
+ "kind": "table",
480
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_extra_depth_factors.csv",
481
+ "state": "completed"
482
+ },
483
+ {
484
+ "host": "server_1",
485
+ "kind": "table",
486
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_obsdepth.csv",
487
+ "state": "completed"
488
+ },
489
+ {
490
+ "host": "server_1",
491
+ "kind": "table",
492
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_obsdepth_matched.csv",
493
+ "state": "completed"
494
+ },
495
+ {
496
+ "host": "server_1",
497
+ "kind": "table",
498
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_ratios.csv",
499
+ "state": "completed"
500
+ },
501
+ {
502
+ "host": "server_1",
503
+ "kind": "table",
504
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_spearman_arms.csv",
505
+ "state": "completed"
506
+ },
507
+ {
508
+ "host": "server_1",
509
+ "kind": "table",
510
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_spearman_diff.csv",
511
+ "state": "completed"
512
+ },
513
+ {
514
+ "host": "server_1",
515
+ "kind": "table",
516
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_bootstrap.csv",
517
+ "state": "completed"
518
+ },
519
+ {
520
+ "host": "server_1",
521
+ "kind": "table",
522
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_contrast_counts.csv",
523
+ "state": "completed"
524
+ },
525
+ {
526
+ "host": "server_1",
527
+ "kind": "table",
528
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_contrasts.csv",
529
+ "state": "completed"
530
+ },
531
+ {
532
+ "host": "server_1",
533
+ "kind": "table",
534
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_direction_mcnemar.csv",
535
+ "state": "completed"
536
+ },
537
+ {
538
+ "host": "server_1",
539
+ "kind": "table",
540
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_donorweight.csv",
541
+ "state": "completed"
542
+ },
543
+ {
544
+ "host": "server_1",
545
+ "kind": "table",
546
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_fidelity.csv",
547
+ "state": "completed"
548
+ },
549
+ {
550
+ "host": "server_1",
551
+ "kind": "table",
552
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_label_marker.csv",
553
+ "state": "completed"
554
+ },
555
+ {
556
+ "host": "server_1",
557
+ "kind": "table",
558
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_label_marker_diffs.csv",
559
+ "state": "completed"
560
+ },
561
+ {
562
+ "host": "server_1",
563
+ "kind": "table",
564
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_sensitivity.csv",
565
+ "state": "completed"
566
+ },
567
+ {
568
+ "host": "server_1",
569
+ "kind": "table",
570
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_spearman.csv",
571
+ "state": "completed"
572
+ },
573
+ {
574
+ "host": "server_1",
575
+ "kind": "table",
576
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_arm_fidelity.csv",
577
+ "state": "completed"
578
+ },
579
+ {
580
+ "host": "server_1",
581
+ "kind": "table",
582
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_bootstrap.csv",
583
+ "state": "completed"
584
+ },
585
+ {
586
+ "host": "server_1",
587
+ "kind": "table",
588
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_bootstrap_counts.csv",
589
+ "state": "completed"
590
+ },
591
+ {
592
+ "host": "server_1",
593
+ "kind": "table",
594
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_contrast_counts.csv",
595
+ "state": "completed"
596
+ },
597
+ {
598
+ "host": "server_1",
599
+ "kind": "table",
600
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_contrast_directions.csv",
601
+ "state": "completed"
602
+ },
603
+ {
604
+ "host": "server_1",
605
+ "kind": "table",
606
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_label_marker_check.csv",
607
+ "state": "completed"
608
+ },
609
+ {
610
+ "host": "server_1",
611
+ "kind": "table",
612
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_spearman.csv",
613
+ "state": "completed"
614
+ },
615
+ {
616
+ "host": "server_1",
617
+ "kind": "table",
618
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/within_state_table.csv",
619
+ "state": "completed"
620
+ },
621
+ {
622
+ "host": "server_1",
623
+ "kind": "table",
624
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/workflow_result.json",
625
+ "state": "completed"
626
+ },
627
+ {
628
+ "host": "server_1",
629
+ "kind": "table",
630
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/sepsis_fold0_contrasts.csv",
631
+ "state": "completed"
632
+ },
633
+ {
634
+ "host": "server_1",
635
+ "kind": "table",
636
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/sepsis_fold0_per_donor.csv",
637
+ "state": "completed"
638
+ },
639
+ {
640
+ "host": "server_1",
641
+ "kind": "table",
642
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/sepsis_fold0_summary.csv",
643
+ "state": "completed"
644
+ },
645
+ {
646
+ "host": "server_1",
647
+ "kind": "table",
648
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/sepsis_loco_contrasts.csv",
649
+ "state": "completed"
650
+ },
651
+ {
652
+ "host": "server_1",
653
+ "kind": "table",
654
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/sepsis_loco_per_donor.csv",
655
+ "state": "completed"
656
+ },
657
+ {
658
+ "host": "server_1",
659
+ "kind": "table",
660
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/sepsis_loco_summary.csv",
661
+ "state": "completed"
662
+ },
663
+ {
664
+ "host": "server_1",
665
+ "kind": "table",
666
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/fold0/lora_n5__raw.npz",
667
+ "state": "completed"
668
+ },
669
+ {
670
+ "host": "server_1",
671
+ "kind": "table",
672
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/fold0/lora_recipe__raw.npz",
673
+ "state": "completed"
674
+ },
675
+ {
676
+ "host": "server_1",
677
+ "kind": "table",
678
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/fold0/real_full__raw.npz",
679
+ "state": "completed"
680
+ },
681
+ {
682
+ "host": "server_1",
683
+ "kind": "table",
684
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/fold0/real_lora__raw.npz",
685
+ "state": "completed"
686
+ },
687
+ {
688
+ "host": "server_1",
689
+ "kind": "table",
690
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/fold0/scratch_full__raw.npz",
691
+ "state": "completed"
692
+ },
693
+ {
694
+ "host": "server_1",
695
+ "kind": "table",
696
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/fold0/scratch_n5__raw.npz",
697
+ "state": "completed"
698
+ },
699
+ {
700
+ "host": "server_1",
701
+ "kind": "table",
702
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/fold0/scratch_recipe__raw.npz",
703
+ "state": "completed"
704
+ },
705
+ {
706
+ "host": "server_1",
707
+ "kind": "table",
708
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/fold0/zs__raw.npz",
709
+ "state": "completed"
710
+ },
711
+ {
712
+ "host": "server_1",
713
+ "kind": "table",
714
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/locoL_fullsat_s108500_K1000.npz",
715
+ "state": "completed"
716
+ },
717
+ {
718
+ "host": "server_1",
719
+ "kind": "table",
720
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/locoL_fullsat_s20000_K1000.npz",
721
+ "state": "completed"
722
+ },
723
+ {
724
+ "host": "server_1",
725
+ "kind": "table",
726
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/locoL_lora16sat_s26750_K1000.npz",
727
+ "state": "completed"
728
+ },
729
+ {
730
+ "host": "server_1",
731
+ "kind": "table",
732
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/locoL_lora64sat_s59000_K1000.npz",
733
+ "state": "completed"
734
+ },
735
+ {
736
+ "host": "server_1",
737
+ "kind": "table",
738
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/locoL_scratchsat_s100000_K1000.npz",
739
+ "state": "completed"
740
+ },
741
+ {
742
+ "host": "server_1",
743
+ "kind": "table",
744
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/locoL_scratchsat_s150000_K1000.npz",
745
+ "state": "completed"
746
+ },
747
+ {
748
+ "host": "server_1",
749
+ "kind": "table",
750
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/locoL_scratchsat_s162000_K1000.npz",
751
+ "state": "completed"
752
+ },
753
+ {
754
+ "host": "server_1",
755
+ "kind": "table",
756
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/locoL_scratchsat_s50000_K1000.npz",
757
+ "state": "completed"
758
+ },
759
+ {
760
+ "host": "server_1",
761
+ "kind": "table",
762
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/lora_n5__raw.npz",
763
+ "state": "completed"
764
+ },
765
+ {
766
+ "host": "server_1",
767
+ "kind": "table",
768
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/real_lora__raw.npz",
769
+ "state": "completed"
770
+ },
771
+ {
772
+ "host": "server_1",
773
+ "kind": "table",
774
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/xcalL_K1000.npz",
775
+ "state": "completed"
776
+ },
777
+ {
778
+ "host": "server_1",
779
+ "kind": "table",
780
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/work/sepsis/loco/zs__raw.npz",
781
+ "state": "completed"
782
+ },
783
+ {
784
+ "host": "server_1",
785
+ "kind": "log",
786
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_analyze.err",
787
+ "state": "completed"
788
+ },
789
+ {
790
+ "host": "server_1",
791
+ "kind": "log",
792
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_analyze.log",
793
+ "state": "completed"
794
+ },
795
+ {
796
+ "host": "server_1",
797
+ "kind": "log",
798
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_lora_n5__raw.err",
799
+ "state": "completed"
800
+ },
801
+ {
802
+ "host": "server_1",
803
+ "kind": "log",
804
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_lora_n5__raw.log",
805
+ "state": "completed"
806
+ },
807
+ {
808
+ "host": "server_1",
809
+ "kind": "log",
810
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_lora_recipe__raw.err",
811
+ "state": "completed"
812
+ },
813
+ {
814
+ "host": "server_1",
815
+ "kind": "log",
816
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_lora_recipe__raw.log",
817
+ "state": "completed"
818
+ },
819
+ {
820
+ "host": "server_1",
821
+ "kind": "log",
822
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_real_full__raw.err",
823
+ "state": "completed"
824
+ },
825
+ {
826
+ "host": "server_1",
827
+ "kind": "log",
828
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_real_full__raw.log",
829
+ "state": "completed"
830
+ },
831
+ {
832
+ "host": "server_1",
833
+ "kind": "log",
834
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_real_lora__raw.err",
835
+ "state": "completed"
836
+ },
837
+ {
838
+ "host": "server_1",
839
+ "kind": "log",
840
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_real_lora__raw.log",
841
+ "state": "completed"
842
+ },
843
+ {
844
+ "host": "server_1",
845
+ "kind": "log",
846
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_scratch_full__raw.err",
847
+ "state": "completed"
848
+ },
849
+ {
850
+ "host": "server_1",
851
+ "kind": "log",
852
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_scratch_full__raw.log",
853
+ "state": "completed"
854
+ },
855
+ {
856
+ "host": "server_1",
857
+ "kind": "log",
858
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_scratch_n5__raw.err",
859
+ "state": "completed"
860
+ },
861
+ {
862
+ "host": "server_1",
863
+ "kind": "log",
864
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_scratch_n5__raw.log",
865
+ "state": "completed"
866
+ },
867
+ {
868
+ "host": "server_1",
869
+ "kind": "log",
870
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_scratch_recipe__raw.err",
871
+ "state": "completed"
872
+ },
873
+ {
874
+ "host": "server_1",
875
+ "kind": "log",
876
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_scratch_recipe__raw.log",
877
+ "state": "completed"
878
+ },
879
+ {
880
+ "host": "server_1",
881
+ "kind": "log",
882
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_zs__raw.err",
883
+ "state": "completed"
884
+ },
885
+ {
886
+ "host": "server_1",
887
+ "kind": "log",
888
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/f0_extract_zs__raw.log",
889
+ "state": "completed"
890
+ },
891
+ {
892
+ "host": "server_1",
893
+ "kind": "log",
894
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_analyze.err",
895
+ "state": "completed"
896
+ },
897
+ {
898
+ "host": "server_1",
899
+ "kind": "log",
900
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_analyze.log",
901
+ "state": "completed"
902
+ },
903
+ {
904
+ "host": "server_1",
905
+ "kind": "log",
906
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_driver.log",
907
+ "state": "completed"
908
+ },
909
+ {
910
+ "host": "server_1",
911
+ "kind": "log",
912
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_fullsat_s108500_K1000.err",
913
+ "state": "completed"
914
+ },
915
+ {
916
+ "host": "server_1",
917
+ "kind": "log",
918
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_fullsat_s108500_K1000.log",
919
+ "state": "completed"
920
+ },
921
+ {
922
+ "host": "server_1",
923
+ "kind": "log",
924
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_fullsat_s20000_K1000.err",
925
+ "state": "completed"
926
+ },
927
+ {
928
+ "host": "server_1",
929
+ "kind": "log",
930
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_fullsat_s20000_K1000.log",
931
+ "state": "completed"
932
+ },
933
+ {
934
+ "host": "server_1",
935
+ "kind": "log",
936
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_lora16sat_s26750_K1000.err",
937
+ "state": "completed"
938
+ },
939
+ {
940
+ "host": "server_1",
941
+ "kind": "log",
942
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_lora16sat_s26750_K1000.log",
943
+ "state": "completed"
944
+ },
945
+ {
946
+ "host": "server_1",
947
+ "kind": "log",
948
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_lora64sat_s59000_K1000.err",
949
+ "state": "completed"
950
+ },
951
+ {
952
+ "host": "server_1",
953
+ "kind": "log",
954
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_lora64sat_s59000_K1000.log",
955
+ "state": "completed"
956
+ },
957
+ {
958
+ "host": "server_1",
959
+ "kind": "log",
960
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_scratchsat_s100000_K1000.err",
961
+ "state": "completed"
962
+ },
963
+ {
964
+ "host": "server_1",
965
+ "kind": "log",
966
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_scratchsat_s100000_K1000.log",
967
+ "state": "completed"
968
+ },
969
+ {
970
+ "host": "server_1",
971
+ "kind": "log",
972
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_scratchsat_s150000_K1000.err",
973
+ "state": "completed"
974
+ },
975
+ {
976
+ "host": "server_1",
977
+ "kind": "log",
978
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_scratchsat_s150000_K1000.log",
979
+ "state": "completed"
980
+ },
981
+ {
982
+ "host": "server_1",
983
+ "kind": "log",
984
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_scratchsat_s162000_K1000.err",
985
+ "state": "completed"
986
+ },
987
+ {
988
+ "host": "server_1",
989
+ "kind": "log",
990
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_scratchsat_s162000_K1000.log",
991
+ "state": "completed"
992
+ },
993
+ {
994
+ "host": "server_1",
995
+ "kind": "log",
996
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_scratchsat_s50000_K1000.err",
997
+ "state": "completed"
998
+ },
999
+ {
1000
+ "host": "server_1",
1001
+ "kind": "log",
1002
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_locoL_scratchsat_s50000_K1000.log",
1003
+ "state": "completed"
1004
+ },
1005
+ {
1006
+ "host": "server_1",
1007
+ "kind": "log",
1008
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_xcalL_K1000.err",
1009
+ "state": "completed"
1010
+ },
1011
+ {
1012
+ "host": "server_1",
1013
+ "kind": "log",
1014
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/logs/loco_extract_xcalL_K1000.log",
1015
+ "state": "completed"
1016
+ },
1017
+ {
1018
+ "host": "server_1",
1019
+ "kind": "log",
1020
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/cross_run.log",
1021
+ "state": "completed"
1022
+ },
1023
+ {
1024
+ "host": "server_1",
1025
+ "kind": "log",
1026
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_cross_run.log",
1027
+ "state": "completed"
1028
+ },
1029
+ {
1030
+ "host": "server_1",
1031
+ "kind": "log",
1032
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_confound_within_run.log",
1033
+ "state": "completed"
1034
+ },
1035
+ {
1036
+ "host": "server_1",
1037
+ "kind": "log",
1038
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_extra_report.txt",
1039
+ "state": "completed"
1040
+ },
1041
+ {
1042
+ "host": "server_1",
1043
+ "kind": "log",
1044
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_obsdepth_report.txt",
1045
+ "state": "completed"
1046
+ },
1047
+ {
1048
+ "host": "server_1",
1049
+ "kind": "log",
1050
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_cross_report.txt",
1051
+ "state": "completed"
1052
+ },
1053
+ {
1054
+ "host": "server_1",
1055
+ "kind": "log",
1056
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_donorweight.log",
1057
+ "state": "completed"
1058
+ },
1059
+ {
1060
+ "host": "server_1",
1061
+ "kind": "log",
1062
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_label_marker.err",
1063
+ "state": "completed"
1064
+ },
1065
+ {
1066
+ "host": "server_1",
1067
+ "kind": "log",
1068
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_label_marker.log",
1069
+ "state": "completed"
1070
+ },
1071
+ {
1072
+ "host": "server_1",
1073
+ "kind": "log",
1074
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_main.log",
1075
+ "state": "completed"
1076
+ },
1077
+ {
1078
+ "host": "server_1",
1079
+ "kind": "log",
1080
+ "source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/rare_states_screen_20261004/out/scratch_vs_lora_20261005/verify_recompute_within_sensitivity.log",
1081
+ "state": "completed"
1082
+ }
1083
+ ],
1084
+ "inference_locations": [],
1085
+ "project_id": "pbisc-diffusion",
1086
+ "summary": "Rare states, from scratch vs pretrained (plans/rare_states_screen_20261004, 2026-10-05): new --scope loco in tools/sepsis_states.py for the cross-cohort arms with all 82 sepsis donors held out (scratch milestones 50k-162k, LoRA r16/r64, full FT, xcal; own-cohort LoRA and zero-shot as references), sequential extracts (tools/run_loco_extract.sh; every NPZ streamed from spark-0110 sha-checked, benchmark Poisson read-out reproduced), outputs out/sepsis_loco_*; the fold-0 within-cohort scratch arms; a donor-bootstrap / confound-audit / two-pass verification analysis (out/scratch_vs_lora_20261005/, REPORT.md). No new generation; no inference locations."
1087
+ }