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Archive 4 checkpoints (1-4)

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paper-releases/pbisc-diffusion/updates/20261002T002920Z-deck-extra-metrics-scsemi-prep/diffusion/dataset/server_1/model8/presentations/2026-09-30--paper-summary--r00/data/sec09_extra_ksens.csv ADDED
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+ figure,dataset,metric,series,value,sd,source
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69
+ sec09_extra_ksens,ji2025_chili,coverage_k5,zs_cal,0.0755674,0.0105733,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
70
+ sec09_extra_ksens,ji2025_chili,coverage_k10,zs_cal,0.114423,0.0139677,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
71
+ sec09_extra_ksens,ji2025_chili,coverage_k3,scsemi5,0.0805484,0.0157853,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
72
+ sec09_extra_ksens,ji2025_chili,coverage_k5,scsemi5,0.105112,0.0186403,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
73
+ sec09_extra_ksens,ji2025_chili,coverage_k10,scsemi5,0.145322,0.020647,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
74
+ sec09_extra_ksens,ji2025_chili,coverage_k3,lora,0.477601,0.115753,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
75
+ sec09_extra_ksens,ji2025_chili,coverage_k5,lora,0.578976,0.125908,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
76
+ sec09_extra_ksens,ji2025_chili,coverage_k10,lora,0.70727,0.118608,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
77
+ sec09_extra_ksens,immicro,precision_k3,control,0.834993,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
78
+ sec09_extra_ksens,immicro,precision_k5,control,0.907333,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
79
+ sec09_extra_ksens,immicro,precision_k10,control,0.965464,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
80
+ sec09_extra_ksens,immicro,precision_k3,zs_raw,0.398706,0.0085924,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
81
+ sec09_extra_ksens,immicro,precision_k5,zs_raw,0.520562,0.00327242,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
82
+ sec09_extra_ksens,immicro,precision_k10,zs_raw,0.677216,0.00583049,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
83
+ sec09_extra_ksens,immicro,precision_k3,zs_cal,0.70583,0.0139606,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
84
+ sec09_extra_ksens,immicro,precision_k5,zs_cal,0.807438,0.00818735,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
85
+ sec09_extra_ksens,immicro,precision_k10,zs_cal,0.903673,0.00579278,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
86
+ sec09_extra_ksens,immicro,precision_k3,scsemi5,0.235542,0.0251705,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
87
+ sec09_extra_ksens,immicro,precision_k5,scsemi5,0.333373,0.0335924,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
88
+ sec09_extra_ksens,immicro,precision_k10,scsemi5,0.518,0.0359642,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
89
+ sec09_extra_ksens,immicro,precision_k3,lora,0.797373,0.0169504,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
90
+ sec09_extra_ksens,immicro,precision_k5,lora,0.882301,0.0116146,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
91
+ sec09_extra_ksens,immicro,precision_k10,lora,0.952078,0.00504273,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
92
+ sec09_extra_ksens,ye2026_sepsis,precision_k3,control,0.873818,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
93
+ sec09_extra_ksens,ye2026_sepsis,precision_k5,control,0.938494,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
94
+ sec09_extra_ksens,ye2026_sepsis,precision_k10,control,0.981195,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
95
+ sec09_extra_ksens,ye2026_sepsis,precision_k3,zs_raw,0.318234,0.0362157,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
96
+ sec09_extra_ksens,ye2026_sepsis,precision_k5,zs_raw,0.435377,0.0295641,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
97
+ sec09_extra_ksens,ye2026_sepsis,precision_k10,zs_raw,0.625281,0.0121447,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
98
+ sec09_extra_ksens,ye2026_sepsis,precision_k3,zs_cal,0.602805,0.00894264,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
99
+ sec09_extra_ksens,ye2026_sepsis,precision_k5,zs_cal,0.752,0.0104876,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
100
+ sec09_extra_ksens,ye2026_sepsis,precision_k10,zs_cal,0.899186,0.00460611,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
101
+ sec09_extra_ksens,ye2026_sepsis,precision_k3,scsemi5,0.408104,0.0566074,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
102
+ sec09_extra_ksens,ye2026_sepsis,precision_k5,scsemi5,0.540814,0.0625304,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
103
+ sec09_extra_ksens,ye2026_sepsis,precision_k10,scsemi5,0.727792,0.0616141,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
104
+ sec09_extra_ksens,ye2026_sepsis,precision_k3,lora,0.64897,0.0345456,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
105
+ sec09_extra_ksens,ye2026_sepsis,precision_k5,lora,0.777506,0.0293134,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
106
+ sec09_extra_ksens,ye2026_sepsis,precision_k10,lora,0.905766,0.0203351,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
107
+ sec09_extra_ksens,imperial_eskd,precision_k3,control,0.841854,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
108
+ sec09_extra_ksens,imperial_eskd,precision_k5,control,0.914685,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
109
+ sec09_extra_ksens,imperial_eskd,precision_k10,control,0.969095,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
110
+ sec09_extra_ksens,imperial_eskd,precision_k3,zs_raw,0.22109,0.0147367,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
111
+ sec09_extra_ksens,imperial_eskd,precision_k5,zs_raw,0.314336,0.0138959,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
112
+ sec09_extra_ksens,imperial_eskd,precision_k10,zs_raw,0.500327,0.0158728,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
113
+ sec09_extra_ksens,imperial_eskd,precision_k3,zs_cal,0.598048,0.0162208,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
114
+ sec09_extra_ksens,imperial_eskd,precision_k5,zs_cal,0.718661,0.013666,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
115
+ sec09_extra_ksens,imperial_eskd,precision_k10,zs_cal,0.845104,0.00888329,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
116
+ sec09_extra_ksens,imperial_eskd,precision_k3,scsemi5,0.116938,0.0255652,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
117
+ sec09_extra_ksens,imperial_eskd,precision_k5,scsemi5,0.186385,0.0285439,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
118
+ sec09_extra_ksens,imperial_eskd,precision_k10,scsemi5,0.329979,0.0292366,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
119
+ sec09_extra_ksens,imperial_eskd,precision_k3,lora,0.609508,0.0304896,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
120
+ sec09_extra_ksens,imperial_eskd,precision_k5,lora,0.726263,0.0279326,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
121
+ sec09_extra_ksens,imperial_eskd,precision_k10,lora,0.852656,0.0184857,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
122
+ sec09_extra_ksens,giroux2022,precision_k3,control,0.991091,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
123
+ sec09_extra_ksens,giroux2022,precision_k5,control,0.996614,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
124
+ sec09_extra_ksens,giroux2022,precision_k10,control,0.99916,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
125
+ sec09_extra_ksens,giroux2022,precision_k3,zs_raw,0.85962,0.0144318,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
126
+ sec09_extra_ksens,giroux2022,precision_k5,zs_raw,0.925836,0.00851692,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
127
+ sec09_extra_ksens,giroux2022,precision_k10,zs_raw,0.980143,0.00901113,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
128
+ sec09_extra_ksens,giroux2022,precision_k3,zs_cal,0.958004,0.0185552,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
129
+ sec09_extra_ksens,giroux2022,precision_k5,zs_cal,0.980984,0.0100548,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
130
+ sec09_extra_ksens,giroux2022,precision_k10,zs_cal,0.995925,0.00372511,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
131
+ sec09_extra_ksens,giroux2022,precision_k3,scsemi5,0.881333,0.0160557,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
132
+ sec09_extra_ksens,giroux2022,precision_k5,scsemi5,0.951319,0.0108614,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
133
+ sec09_extra_ksens,giroux2022,precision_k10,scsemi5,0.992446,0.00384423,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
134
+ sec09_extra_ksens,giroux2022,precision_k3,lora,0.983422,0.00446395,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
135
+ sec09_extra_ksens,giroux2022,precision_k5,lora,0.994743,0.00130106,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
136
+ sec09_extra_ksens,giroux2022,precision_k10,lora,0.999624,0.000343909,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
137
+ sec09_extra_ksens,ji2025_chili,precision_k3,control,0.972468,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
138
+ sec09_extra_ksens,ji2025_chili,precision_k5,control,0.988925,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
139
+ sec09_extra_ksens,ji2025_chili,precision_k10,control,0.996827,,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
140
+ sec09_extra_ksens,ji2025_chili,precision_k3,zs_raw,0.411678,0.0387711,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
141
+ sec09_extra_ksens,ji2025_chili,precision_k5,zs_raw,0.557951,0.0769245,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
142
+ sec09_extra_ksens,ji2025_chili,precision_k10,zs_raw,0.79882,0.0146006,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
143
+ sec09_extra_ksens,ji2025_chili,precision_k3,zs_cal,0.409137,0.0309214,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
144
+ sec09_extra_ksens,ji2025_chili,precision_k5,zs_cal,0.555766,0.0512807,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
145
+ sec09_extra_ksens,ji2025_chili,precision_k10,zs_cal,0.782444,0.0274701,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
146
+ sec09_extra_ksens,ji2025_chili,precision_k3,scsemi5,0.557482,0.0740433,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
147
+ sec09_extra_ksens,ji2025_chili,precision_k5,scsemi5,0.684594,0.0763646,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
148
+ sec09_extra_ksens,ji2025_chili,precision_k10,scsemi5,0.840092,0.0537627,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
149
+ sec09_extra_ksens,ji2025_chili,precision_k3,lora,0.849481,0.0538698,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
150
+ sec09_extra_ksens,ji2025_chili,precision_k5,lora,0.921568,0.0338536,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
151
+ sec09_extra_ksens,ji2025_chili,precision_k10,lora,0.977764,0.00974161,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
paper-releases/pbisc-diffusion/updates/20261002T002920Z-deck-extra-metrics-scsemi-prep/diffusion/dataset/server_1/model8/presentations/2026-09-30--paper-summary--r00/data/sec09_extra_quoted_numbers.csv ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ slide,value,source
2
+ a,"LoRA-5 best of 4 arms (draws): kNN AUC 25/25, RF AUC 25/25, 1-NN 25/25, MMD² 23/25, E_N 22/25","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
3
+ a,E_N LoRA-5 < scSemi-5 in 25/25 draws; cohort means scSemi-5 vs LoRA-5: ImMicro 3.65 vs 1.55; Sepsis 3.83 vs 1.46; Imperial 2.04 vs 1.28; Giroux 3.79 vs 1.99; Ji 4.27 vs 2.60,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/en.csv (cellset all, distance sq)"
4
+ a,"LoRA-5 kNN AUC cohort means: ImMicro 0.943, Sepsis 0.936, Imperial 0.918, Giroux 0.893, Ji 0.955; per draw 0.878–0.975","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
5
+ a,"real vs real: kNN AUC ImMicro 0.502, Sepsis 0.501, Imperial 0.498, Giroux 0.495, Ji 0.491; E_N ImMicro 0.382, Sepsis 0.100, Imperial 0.260, Giroux 0.145, Ji 0.073","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
6
+ a,"LoRA-5 worse than a comparator (draws): vs zero-shot + calibration: Sepsis precision k5 1/5 (0.778 vs 0.752), precision k10 2/5 (0.906 vs 0.899); Imperial MMD² (σ = m) 1/5 (0.0156 vs 0.0218), MMD² (σ sum) 1/5 (0.0443 vs 0.0673), E_N (all cells) 3/5 (1.28 vs 1.22), precision k3 2/5 (0.610 vs 0.598), precision k5 2/5 (0.726 vs 0.719), precision k10 2/5 (0.853 vs 0.845); Giroux MMD² (σ = m) 1/5 (0.0178 vs 0.0257), MMD² (σ sum) 1/5 (0.0584 vs 0.0838), precision k5 1/5 (0.995 vs 0.981), precision k10 1/5 (1.000 vs 0.996)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
7
+ a,"cross-check: 720 cohort × arm × metric values equal scores_extra/{fewshot,pooled}_headline.csv",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/fewshot_headline.csv; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/pooled_headline.csv
8
+ b,LoRA first among 4 arms in all 5 cohorts on 12/12 metrics,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/pooled/{metrics,en}.csv"
9
+ b,"Ji E_N: LoRA 1.948; Zero-shot, real bulk 10.125, Zero-shot + calibration 7.076, sc-only fine-tune (+ calibration) 7.215","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/pooled/{metrics,en}.csv"
10
+ b,"LoRA kNN AUC (pooled): ImMicro 0.941, Sepsis 0.886, Imperial 0.866, Giroux 0.881, Ji 0.908","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/pooled/{metrics,en}.csv"
11
+ b,"scSemiProfiler, all training pairs: not available",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/presentations/2026-09-30--paper-summary--r00/data/sec09_extra_scsemi_status.csv
12
+ c,"LoRA-5 first on coverage at k = 3, 5 and 10: 25/25 draws","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
13
+ c,LoRA-5 first on precision (draws) at k = 3/5/10: 23/21/20 of 25,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
14
+ c,"real vs real coverage at k = 3: ImMicro 0.932, Sepsis 0.925, Imperial 0.919, Giroux 0.993, Ji 0.980","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
15
+ c,every set falls with smaller k (cohort means): True,"/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_extra/<cohort>/fewshot_n5/draw<j>/{metrics,en}.csv"
paper-releases/pbisc-diffusion/updates/20261002T002920Z-deck-extra-metrics-scsemi-prep/diffusion/dataset/server_1/model8/presentations/2026-09-30--paper-summary--r00/data/sec09_extra_scsemi_status.csv ADDED
@@ -0,0 +1 @@
 
 
1
+ dataset,design,unit,set,status,reason
paper-releases/pbisc-diffusion/updates/20261002T002920Z-deck-extra-metrics-scsemi-prep/diffusion/dataset/server_1/model8/presentations/2026-09-30--paper-summary--r00/data/sec09_quoted_numbers.csv ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ slide,item,value,source
2
+ a,quoted on slide,403 paired samples (sum of usable rows),/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/<cohort>/fewshot_n5/DRAWS.json (n_usable_rows)
3
+ a,quoted on slide,275 donors (sum of usable donors),/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/<cohort>/fewshot_n5/DRAWS.json (n_usable_donors)
4
+ a,quoted on slide,"dropped 15 identity-fail, 11 borderline, 1 < 200 cells, of 430","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/<cohort>/features.npz (identity_pass, identity_check); samples.csv (n_cells); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/tools/prepare_dataset.py (MIN_CELLS)"
5
+ a,quoted on slide,ImMicro 107 pairs / 107 donors,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/immicro/fewshot_n5/DRAWS.json
6
+ a,quoted on slide,Sepsis 82 pairs / 82 donors; sepsis 61 vs control 21,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ye2026_sepsis/fewshot_n5/DRAWS.json; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/pooled/summary.json
7
+ a,quoted on slide,"Imperial 157 pairs / 57 donors; COVID+ 113 vs COVID− 34 (+10 recovery, neither)",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/imperial_eskd/fewshot_n5/DRAWS.json; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/imperial_eskd/pooled/summary.json
8
+ a,quoted on slide,Giroux 24 pairs / 9 donors; moderate 11 vs mild 13,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/giroux2022/fewshot_n5/DRAWS.json; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/giroux2022/pooled/summary.json
9
+ a,quoted on slide,Ji 33 pairs / 20 donors; ChILI 18 vs ICI control 15,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ji2025_chili/fewshot_n5/DRAWS.json; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ji2025_chili/pooled/summary.json
10
+ b,quoted on slide,"LoRA-5 vs scSemi-5 coverage (shared-draw means; LoRA-better draws/n; verdict): ImMicro 0.792 vs 0.036 (5/5, lora); Sepsis 0.694 vs 0.080 (5/5, lora); Imperial 0.737 vs 0.059 (5/5, lora); Giroux 0.961 vs 0.607 (5/5, lora); Ji 0.707 vs 0.145 (5/5, lora) -> LoRA verdicts 5/5",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json and draw<j>_scsemi5/summary.json
11
+ b,quoted on slide,"LoRA-5 vs scSemi-5 precision (shared-draw means; LoRA-better draws/n; verdict): ImMicro 0.952 vs 0.518 (5/5, lora); Sepsis 0.906 vs 0.728 (5/5, lora); Imperial 0.853 vs 0.330 (5/5, lora); Giroux 1.000 vs 0.992 (5/5, lora); Ji 0.978 vs 0.840 (5/5, lora) -> LoRA verdicts 5/5",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json and draw<j>_scsemi5/summary.json
12
+ b,quoted on slide,"LoRA-5 vs scSemi-5 comp_l1 (shared-draw means; LoRA-better draws/n; verdict): ImMicro 0.176 vs 0.233 (5/5, lora); Sepsis 0.466 vs 0.612 (5/5, lora); Imperial 0.503 vs 0.602 (5/5, lora); Giroux 0.256 vs 0.270 (3/5, split); Ji 0.513 vs 0.592 (4/5, lora) -> LoRA verdicts 4/5",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json and draw<j>_scsemi5/summary.json
13
+ b,quoted on slide,"LoRA-5 vs scSemi-5 coverage_dm (shared-draw means; LoRA-better draws/n; verdict): ImMicro 0.966 vs 0.284 (5/5, lora); Sepsis 0.834 vs 0.158 (5/5, lora); Imperial 0.863 vs 0.152 (5/5, lora); Giroux 0.974 vs 0.238 (5/5, lora); Ji 0.908 vs 0.150 (5/5, lora) -> LoRA verdicts 5/5",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json and draw<j>_scsemi5/summary.json
14
+ b,quoted on slide,"LoRA-5 vs scSemi-5 precision_dm (shared-draw means; LoRA-better draws/n; verdict): ImMicro 0.975 vs 0.829 (5/5, lora); Sepsis 0.914 vs 0.504 (5/5, lora); Imperial 0.881 vs 0.429 (5/5, lora); Giroux 0.995 vs 0.426 (5/5, lora); Ji 0.974 vs 0.564 (5/5, lora) -> LoRA verdicts 5/5",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json and draw<j>_scsemi5/summary.json
15
+ b,quoted on slide,"LoRA-5 vs zero-shot + calibration coverage (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.792 vs 0.535 (5/5, lora); Sepsis 0.694 vs 0.428 (5/5, lora); Imperial 0.737 vs 0.634 (5/5, lora); Giroux 0.961 vs 0.944 (5/5, lora); Ji 0.707 vs 0.114 (5/5, lora) -> LoRA verdicts 5/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_cal)"
16
+ b,quoted on slide,"LoRA-5 vs zero-shot + calibration precision (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.952 vs 0.904 (5/5, lora); Sepsis 0.906 vs 0.899 (3/5, split); Imperial 0.853 vs 0.845 (3/5, split); Giroux 1.000 vs 0.996 (4/5, lora); Ji 0.978 vs 0.782 (5/5, lora) -> LoRA verdicts 3/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_cal)"
17
+ b,quoted on slide,"LoRA-5 vs zero-shot + calibration comp_l1 (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.176 vs 0.203 (5/5, lora); Sepsis 0.466 vs 0.446 (2/5, split); Imperial 0.503 vs 0.506 (2/5, split); Giroux 0.256 vs 0.288 (2/5, split); Ji 0.513 vs 0.514 (3/5, split) -> LoRA verdicts 1/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_cal)"
18
+ b,quoted on slide,"LoRA-5 vs zero-shot + calibration coverage_dm (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.966 vs 0.780 (5/5, lora); Sepsis 0.834 vs 0.658 (5/5, lora); Imperial 0.863 vs 0.681 (5/5, lora); Giroux 0.974 vs 0.937 (5/5, lora); Ji 0.908 vs 0.357 (5/5, lora) -> LoRA verdicts 5/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_cal)"
19
+ b,quoted on slide,"LoRA-5 vs zero-shot + calibration precision_dm (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.975 vs 0.940 (5/5, lora); Sepsis 0.914 vs 0.909 (3/5, split); Imperial 0.881 vs 0.868 (3/5, split); Giroux 0.995 vs 0.989 (5/5, lora); Ji 0.974 vs 0.658 (5/5, lora) -> LoRA verdicts 3/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_cal)"
20
+ b,quoted on slide,"LoRA-5 vs zero-shot (real bulk) coverage (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.792 vs 0.190 (5/5, lora); Sepsis 0.694 vs 0.076 (5/5, lora); Imperial 0.737 vs 0.114 (5/5, lora); Giroux 0.961 vs 0.472 (5/5, lora); Ji 0.707 vs 0.066 (5/5, lora) -> LoRA verdicts 5/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_raw)"
21
+ b,quoted on slide,"LoRA-5 vs zero-shot (real bulk) precision (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.952 vs 0.677 (5/5, lora); Sepsis 0.906 vs 0.625 (5/5, lora); Imperial 0.853 vs 0.500 (5/5, lora); Giroux 1.000 vs 0.980 (5/5, lora); Ji 0.978 vs 0.799 (5/5, lora) -> LoRA verdicts 5/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_raw)"
22
+ b,quoted on slide,"LoRA-5 vs zero-shot (real bulk) comp_l1 (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.176 vs 0.445 (5/5, lora); Sepsis 0.466 vs 0.510 (5/5, lora); Imperial 0.503 vs 0.806 (5/5, lora); Giroux 0.256 vs 0.351 (5/5, lora); Ji 0.513 vs 0.721 (5/5, lora) -> LoRA verdicts 5/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_raw)"
23
+ b,quoted on slide,"LoRA-5 vs zero-shot (real bulk) coverage_dm (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.966 vs 0.213 (5/5, lora); Sepsis 0.834 vs 0.073 (5/5, lora); Imperial 0.863 vs 0.151 (5/5, lora); Giroux 0.974 vs 0.549 (5/5, lora); Ji 0.908 vs 0.199 (5/5, lora) -> LoRA verdicts 5/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_raw)"
24
+ b,quoted on slide,"LoRA-5 vs zero-shot (real bulk) precision_dm (same-draw means; LoRA-better draws/n; verdict): ImMicro 0.975 vs 0.671 (5/5, lora); Sepsis 0.914 vs 0.595 (5/5, lora); Imperial 0.881 vs 0.561 (5/5, lora); Giroux 0.995 vs 0.996 (2/5, split); Ji 0.974 vs 0.480 (5/5, lora) -> LoRA verdicts 4/5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (arms lora5, zs_raw)"
25
+ b,quoted on slide,"coverage cohort means over all draws: LoRA-5 ImMicro 0.792, Sepsis 0.694, Imperial 0.737, Giroux 0.961, Ji 0.707; scSemi-5 ImMicro 0.036, Sepsis 0.080, Imperial 0.059, Giroux 0.607, Ji 0.145; zero-shot + calibration ImMicro 0.535, Sepsis 0.428, Imperial 0.634, Giroux 0.944, Ji 0.114; zero-shot ImMicro 0.190, Sepsis 0.076, Imperial 0.114, Giroux 0.472, Ji 0.066",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json and draw<j>_scsemi5/summary.json
26
+ b,quoted on slide,"LoRA-5 minus zero-shot + calibration composition L1, per-donor Wilcoxon (draw-averaged): ImMicro -0.027, n=107, p=2.2e-10; Sepsis +0.018, n=82, p=0.79; Imperial +0.016, n=57, p=0.38; Giroux -0.065, n=8, p=0.38; Ji -0.012, n=20, p=0.7 -> gain in 1/5",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/per_donor.csv; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/<cohort>/folds.csv
27
+ b,quoted on slide,"LoRA-5 minus zero-shot (real bulk) composition L1, per-donor Wilcoxon (draw-averaged): ImMicro -0.270, n=107, p=2.2e-18; Sepsis -0.044, n=82, p=0.15; Imperial -0.348, n=57, p=1.6e-08; Giroux -0.107, n=8, p=0.039; Ji -0.232, n=20, p=0.017 -> gain in 4/5",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/per_donor.csv; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/<cohort>/folds.csv
28
+ b,quoted on slide,"scSemiProfiler draws used / LoRA draws: ImMicro 5/5, Sepsis 5/5, Imperial 5/5, Giroux 5/5, Ji 5/5",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/presentations/2026-09-30--paper-summary--r00/data/sec09_scsemi_status.csv
29
+ b,quoted on slide,"training pairs per draw: ImMicro 5, Sepsis 5, Imperial 12–15, Giroux 12–14, Ji 7–9; test pairs: ImMicro 102, Sepsis 77, Imperial 142–145, Giroux 10–12, Ji 24–26","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/<cohort>/fewshot_n5/DRAWS.json (n_train_rows, n_test_rows)"
30
+ b,quoted on slide,"LoRA r = 16; 3000 fixed steps; base runs/f01_6k_1x_seed20260627/checkpoint_epoch_016.pt; sampling: test donors only, 1,500 cells each, seed 20260927, DDIM 50, EMA, Bernoulli read-out",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/runs/immicro/fewshot_n5/draw0/lora/RUN.json; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/README.md
31
+ b,quoted on slide,P/C definition: precision/coverage/density (PCA-50 + k = 10 balls fitted on the scored donors' observed R1 cells); PCA components in every summary.json = 50,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/tools/score_ft.py
32
+ c,quoted on slide,"Giroux sex by contrast arm (subjects, F/M): scored moderate 4F/0M vs mild 0F/5M; all paired 4F/1M vs 0F/5M",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/giroux2022/features.npz (sex_bulk_expr = sex_sc_expr = sex_geo); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/giroux2022/folds.csv
33
+ c,quoted on slide,"Giroux sex-linked genes excluded from the disease metrics: 196 listed (43 chrY non-PAR + 153 X escape), 65 of 5563 scoring genes",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/sex_linked_genes/sex_linked_genes_exclude.csv; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/sex_linked_genes/BUILD.json; /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/pooled/summary.json (gene_exclusion)
34
+ c,quoted on slide,"Top-50 DEG LoRA-5 vs scSemi-5 (shared-draw means; LoRA-better / tied draws; verdict): Sepsis 16.4 vs 5.2 (5/5, 0 tied, lora); Imperial 113.6 vs 46.8 (5/5, 0 tied, lora); Giroux 0.2 vs 0.0 (1/5, 4 tied, tie); Ji 0.2 vs 0.0 (1/5, 4 tied, tie)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>{,_scsemi5}/summary.json and contrast.csv (Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/)"
35
+ c,quoted on slide,"Top-50 DEG LoRA-5 vs zero-shot + calibration (shared-draw means; LoRA-better / tied draws; verdict): Sepsis 16.4 vs 9.4 (4/5, 0 tied, lora); Imperial 113.6 vs 103.8 (5/5, 0 tied, lora); Giroux 0.2 vs 0.0 (1/5, 4 tied, tie); Ji 0.2 vs 0.0 (1/5, 4 tied, tie)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>{,_scsemi5}/summary.json and contrast.csv (Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/)"
36
+ c,quoted on slide,"Top-50 DEG LoRA-5 vs zero-shot (real bulk) (shared-draw means; LoRA-better / tied draws; verdict): Sepsis 16.4 vs 10.0 (4/5, 0 tied, lora); Imperial 113.6 vs 105.6 (5/5, 0 tied, lora); Giroux 0.2 vs 0.0 (1/5, 4 tied, tie); Ji 0.2 vs 0.0 (1/5, 4 tied, tie)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>{,_scsemi5}/summary.json and contrast.csv (Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/)"
37
+ c,quoted on slide,"logFC r LoRA-5 vs scSemi-5 (shared-draw means; LoRA-better draws; verdict): Sepsis 0.350 vs 0.402 (3/5, split); Imperial 0.749 vs 0.562 (5/5, lora); Giroux 0.297 vs 0.397 (0/5, other); Ji 0.333 vs 0.153 (5/5, lora)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>{,_scsemi5}/summary.json and contrast.csv (Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/)"
38
+ c,quoted on slide,"logFC r LoRA-5 vs zero-shot + calibration (shared-draw means; LoRA-better draws; verdict): Sepsis 0.350 vs 0.096 (4/5, lora); Imperial 0.749 vs 0.676 (5/5, lora); Giroux 0.297 vs 0.228 (4/5, lora); Ji 0.333 vs 0.140 (5/5, lora)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>{,_scsemi5}/summary.json and contrast.csv (Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/)"
39
+ c,quoted on slide,"logFC r LoRA-5 vs zero-shot (real bulk) (shared-draw means; LoRA-better draws; verdict): Sepsis 0.350 vs -0.024 (5/5, lora); Imperial 0.749 vs 0.638 (5/5, lora); Giroux 0.297 vs 0.255 (3/5, split); Ji 0.333 vs 0.087 (5/5, lora)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>{,_scsemi5}/summary.json and contrast.csv (Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/)"
40
+ c,quoted on slide,"Sepsis broadcast logFC r 0.320 vs best arm 0.402; broadcast DEG 20.0 vs best arm 16.4 (means over all draws; arms: zero-shot, zero-shot + calibration, scSemi-5, LoRA-5)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/fewshot_n5/draw<j>{,_scsemi5}/summary.json"
41
+ c,quoted on slide,"Imperial broadcast logFC r 0.656 vs best arm 0.749; broadcast DEG 74.8 vs best arm 113.6 (means over all draws; arms: zero-shot, zero-shot + calibration, scSemi-5, LoRA-5)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/imperial_eskd/fewshot_n5/draw<j>{,_scsemi5}/summary.json"
42
+ c,quoted on slide,"Giroux broadcast logFC r 0.492 vs best arm 0.397; broadcast DEG 0.0 vs best arm 0.2 (means over all draws; arms: zero-shot, zero-shot + calibration, scSemi-5, LoRA-5)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/fewshot_n5/draw<j>{,_scsemi5}/summary.json"
43
+ c,quoted on slide,"Ji broadcast logFC r 0.234 vs best arm 0.333; broadcast DEG 1.0 vs best arm 0.2 (means over all draws; arms: zero-shot, zero-shot + calibration, scSemi-5, LoRA-5)","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ji2025_chili/fewshot_n5/draw<j>{,_scsemi5}/summary.json"
44
+ c,quoted on slide,"DEG maximum per draw: Sepsis 250, Imperial 250, Giroux 1–63, Ji 75–250",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/fewshot_n5/draw<j>/summary.json (deg_top50_max; Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex)
45
+ c,quoted on slide,Giroux test subjects per draw: 2 vs 2 (moderate vs mild); test pairs 10–12,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/giroux2022/fewshot_n5/DRAWS.json (train_donors); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/giroux2022/folds.csv (group)
46
+ d,quoted on slide,"LoRA best of 4 arms: coverage 5/5, logFC r 4/4, top-50 DEG 4/4",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/pooled/summary.json (Sepsis DEG: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/pooled_deg/summary.json; Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/pooled/summary.json)
47
+ d,quoted on slide,"Ji coverage: zero-shot 0.055, zero-shot + calibration 0.106, sc-only (+ calibration) 0.113, LoRA 0.857",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ji2025_chili/pooled/summary.json
48
+ d,quoted on slide,Giroux logFC r: broadcast 0.575 vs LoRA 0.461; DEG broadcast 5 vs LoRA 5,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/pooled/summary.json
49
+ d,quoted on slide,"LoRA logFC r vs broadcast: Sepsis 0.527 vs 0.316, Imperial 0.819 vs 0.661, Giroux 0.461 vs 0.575, Ji 0.479 vs 0.240",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/pooled/summary.json (Sepsis DEG: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/pooled_deg/summary.json; Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/pooled/summary.json)
50
+ d,quoted on slide,"coverage LoRA / zero-shot + calibration / zero-shot / sc-only (+ calibration): ImMicro 0.784 / 0.527 / 0.192 / 0.623, Sepsis 0.829 / 0.431 / 0.067 / 0.726, Imperial 0.850 / 0.639 / 0.112 / 0.555, Giroux 0.928 / 0.906 / 0.281 / 0.908, Ji 0.857 / 0.106 / 0.055 / 0.113",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/pooled/summary.json (Sepsis DEG: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/pooled_deg/summary.json; Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/pooled/summary.json)
51
+ d,quoted on slide,"logFC r LoRA / zero-shot + calibration / zero-shot / sc-only (+ calibration): Sepsis 0.527 / 0.123 / -0.012 / 0.296, Imperial 0.819 / 0.679 / 0.644 / 0.808, Giroux 0.461 / 0.269 / 0.334 / 0.344, Ji 0.479 / 0.142 / 0.084 / 0.245",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/pooled/summary.json (Sepsis DEG: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/pooled_deg/summary.json; Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/pooled/summary.json)
52
+ d,quoted on slide,"top-50 DEG LoRA / zero-shot + calibration / zero-shot / sc-only (+ calibration): Sepsis 23 / 11 / 9 / 15, Imperial 143 / 111 / 106 / 129, Giroux 5 / 0 / 1 / 0, Ji 15 / 0 / 0 / 0",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/pooled/summary.json (Sepsis DEG: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/pooled_deg/summary.json; Giroux: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/pooled/summary.json)
53
+ d,quoted on slide,"Pooled n (pairs / donors): ImMicro 107/107, Sepsis 82/82, Imperial 157/57, Giroux 24/9, Ji 33/20",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/<cohort>/pooled/summary.json (n_donors); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/<cohort>/fewshot_n5/DRAWS.json
54
+ d,quoted on slide,"early stopping: About 10 % of each fold's training donors are inner-validation, used only for early stopping",/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/README.md
55
+ b,"immicro LoRA-5 minus zero-shot + calibration L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","-0.027, n=510, p 2.9e-24","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/immicro/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_cal); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/immicro/folds.csv (sample -> donor)"
56
+ b,"immicro LoRA-5 minus zero-shot (real bulk) L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","-0.270, n=510, p 3e-80","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/immicro/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_raw); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/immicro/folds.csv (sample -> donor)"
57
+ b,"ye2026_sepsis LoRA-5 minus zero-shot + calibration L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","+0.020, n=385, p 0.96","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_cal); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ye2026_sepsis/folds.csv (sample -> donor)"
58
+ b,"ye2026_sepsis LoRA-5 minus zero-shot (real bulk) L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","-0.044, n=385, p 0.0031","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_raw); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ye2026_sepsis/folds.csv (sample -> donor)"
59
+ b,"imperial_eskd LoRA-5 minus zero-shot + calibration L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","-0.003, n=715, p 0.11","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/imperial_eskd/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_cal); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/imperial_eskd/folds.csv (sample -> donor)"
60
+ b,"imperial_eskd LoRA-5 minus zero-shot (real bulk) L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","-0.303, n=715, p 3.8e-60","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/imperial_eskd/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_raw); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/imperial_eskd/folds.csv (sample -> donor)"
61
+ b,"giroux2022 LoRA-5 minus zero-shot + calibration L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","-0.029, n=54, p 0.5","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/giroux2022/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_cal); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/giroux2022/folds.csv (sample -> donor)"
62
+ b,"giroux2022 LoRA-5 minus zero-shot (real bulk) L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","-0.093, n=54, p 7.6e-05","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/giroux2022/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_raw); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/giroux2022/folds.csv (sample -> donor)"
63
+ b,"ji2025_chili LoRA-5 minus zero-shot + calibration L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","-0.002, n=126, p 0.6","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ji2025_chili/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_cal); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ji2025_chili/folds.csv (sample -> donor)"
64
+ b,"ji2025_chili LoRA-5 minus zero-shot (real bulk) L1, Wilcoxon over donor-draw rows (pseudo-replicated; not quoted, replaced by the per-donor test)","-0.210, n=126, p 1.9e-07","/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ji2025_chili/fewshot_n5/draw<j>/per_donor.csv (comp_l1, arms lora5 / zs_raw); /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/ji2025_chili/folds.csv (sample -> donor)"
65
+ c,"giroux2022 few-pair zs_raw: logFC r / DEG mean over draws, all genes -> sex-linked genes excluded",0.297 / 4.4 -> 0.255 / 0.0,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/giroux2022/fewshot_n5 -> /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/fewshot_n5
66
+ c,"giroux2022 few-pair zs_cal: logFC r / DEG mean over draws, all genes -> sex-linked genes excluded",0.242 / 1.8 -> 0.228 / 0.0,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/giroux2022/fewshot_n5 -> /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/fewshot_n5
67
+ c,"giroux2022 few-pair scsemi5: logFC r / DEG mean over draws, all genes -> sex-linked genes excluded",0.398 / 1.2 -> 0.397 / 0.0,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/giroux2022/fewshot_n5 -> /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/fewshot_n5
68
+ c,"giroux2022 few-pair lora: logFC r / DEG mean over draws, all genes -> sex-linked genes excluded",nan / nan -> 0.297 / 0.2,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/giroux2022/fewshot_n5 -> /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/fewshot_n5
69
+ c,"giroux2022 few-pair broadcast: logFC r / DEG mean over draws, all genes -> sex-linked genes excluded",nan / nan -> 0.492 / 0.0,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/giroux2022/fewshot_n5 -> /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores_nosex/giroux2022/fewshot_n5
70
+ d,immicro pooled zs_raw (zs__raw) coverage / precision / L1 / r / DEG,0.192 / 0.680 / 0.455 / nan / nan,scores/immicro/pooled/summary.json
71
+ d,immicro pooled zs_cal (zs__cal) coverage / precision / L1 / r / DEG,0.527 / 0.905 / 0.199 / nan / nan,scores/immicro/pooled/summary.json
72
+ d,immicro pooled sconly_cal (pseudo_full__cal) coverage / precision / L1 / r / DEG,0.623 / 0.805 / 0.240 / nan / nan,scores/immicro/pooled/summary.json
73
+ d,immicro pooled lora (real_lora__raw) coverage / precision / L1 / r / DEG,0.784 / 0.924 / 0.162 / nan / nan,scores/immicro/pooled/summary.json
74
+ d,ye2026_sepsis pooled zs_raw (zs__raw) coverage / precision / L1 / r / DEG,0.067 / 0.614 / 0.511 / -0.012 / 9,scores/ye2026_sepsis/pooled/summary.json; DEG: scores/ye2026_sepsis/pooled_deg/summary.json
75
+ d,ye2026_sepsis pooled zs_cal (zs__cal) coverage / precision / L1 / r / DEG,0.431 / 0.903 / 0.401 / 0.123 / 11,scores/ye2026_sepsis/pooled/summary.json; DEG: scores/ye2026_sepsis/pooled_deg/summary.json
76
+ d,ye2026_sepsis pooled sconly_cal (pseudo_full__cal) coverage / precision / L1 / r / DEG,0.726 / 0.863 / 0.360 / 0.296 / 15,scores/ye2026_sepsis/pooled/summary.json; DEG: scores/ye2026_sepsis/pooled_deg/summary.json
77
+ d,ye2026_sepsis pooled lora (real_lora__raw) coverage / precision / L1 / r / DEG,0.829 / 0.926 / 0.362 / 0.527 / 23,scores/ye2026_sepsis/pooled/summary.json; DEG: scores/ye2026_sepsis/pooled_deg/summary.json
78
+ d,imperial_eskd pooled zs_raw (zs__raw) coverage / precision / L1 / r / DEG,0.112 / 0.489 / 0.808 / 0.644 / 106,scores/imperial_eskd/pooled/summary.json
79
+ d,imperial_eskd pooled zs_cal (zs__cal) coverage / precision / L1 / r / DEG,0.639 / 0.842 / 0.494 / 0.679 / 111,scores/imperial_eskd/pooled/summary.json
80
+ d,imperial_eskd pooled sconly_cal (pseudo_full__cal) coverage / precision / L1 / r / DEG,0.555 / 0.691 / 0.461 / 0.808 / 129,scores/imperial_eskd/pooled/summary.json
81
+ d,imperial_eskd pooled lora (real_lora__raw) coverage / precision / L1 / r / DEG,0.850 / 0.847 / 0.376 / 0.819 / 143,scores/imperial_eskd/pooled/summary.json
82
+ d,giroux2022 pooled zs_raw (zs__raw) coverage / precision / L1 / r / DEG,0.281 / 0.909 / 0.325 / 0.334 / 1,scores_nosex/giroux2022/pooled/summary.json
83
+ d,"giroux2022 pooled zs_raw (zs__raw) logFC r / broadcast r / DEG / DEG broadcast, all genes -> sex-linked genes excluded",0.416 / 0.638 / 20 / 39 -> 0.334 / 0.575 / 1 / 5,scores/giroux2022/pooled/summary.json -> scores_nosex/giroux2022/pooled/summary.json
84
+ d,giroux2022 pooled zs_cal (zs__cal) coverage / precision / L1 / r / DEG,0.906 / 0.995 / 0.266 / 0.269 / 0,scores_nosex/giroux2022/pooled/summary.json
85
+ d,"giroux2022 pooled zs_cal (zs__cal) logFC r / broadcast r / DEG / DEG broadcast, all genes -> sex-linked genes excluded",0.305 / 0.626 / 12 / 38 -> 0.269 / 0.564 / 0 / 2,scores/giroux2022/pooled/summary.json -> scores_nosex/giroux2022/pooled/summary.json
86
+ d,giroux2022 pooled sconly_cal (pseudo_full__cal) coverage / precision / L1 / r / DEG,0.908 / 0.991 / 0.453 / 0.344 / 0,scores_nosex/giroux2022/pooled/summary.json
87
+ d,"giroux2022 pooled sconly_cal (pseudo_full__cal) logFC r / broadcast r / DEG / DEG broadcast, all genes -> sex-linked genes excluded",0.374 / 0.626 / 7 / 38 -> 0.344 / 0.564 / 0 / 2,scores/giroux2022/pooled/summary.json -> scores_nosex/giroux2022/pooled/summary.json
88
+ d,giroux2022 pooled lora (real_lora__raw) coverage / precision / L1 / r / DEG,0.928 / 0.998 / 0.258 / 0.461 / 5,scores_nosex/giroux2022/pooled/summary.json
89
+ d,"giroux2022 pooled lora (real_lora__raw) logFC r / broadcast r / DEG / DEG broadcast, all genes -> sex-linked genes excluded",0.504 / 0.638 / 25 / 39 -> 0.461 / 0.575 / 5 / 5,scores/giroux2022/pooled/summary.json -> scores_nosex/giroux2022/pooled/summary.json
90
+ d,ji2025_chili pooled zs_raw (zs__raw) coverage / precision / L1 / r / DEG,0.055 / 0.717 / 0.738 / 0.084 / 0,scores/ji2025_chili/pooled/summary.json
91
+ d,ji2025_chili pooled zs_cal (zs__cal) coverage / precision / L1 / r / DEG,0.106 / 0.740 / 0.501 / 0.142 / 0,scores/ji2025_chili/pooled/summary.json
92
+ d,ji2025_chili pooled sconly_cal (pseudo_full__cal) coverage / precision / L1 / r / DEG,0.113 / 0.694 / 0.609 / 0.245 / 0,scores/ji2025_chili/pooled/summary.json
93
+ d,ji2025_chili pooled lora (real_lora__raw) coverage / precision / L1 / r / DEG,0.857 / 0.971 / 0.504 / 0.479 / 15,scores/ji2025_chili/pooled/summary.json
94
+ d,immicro scSemiProfiler 5-fold (scsemi__raw) lookup,missing,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/immicro/scsemi_cv_20261002
95
+ d,ye2026_sepsis scSemiProfiler 5-fold (scsemi__raw) lookup,missing,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ye2026_sepsis/scsemi_cv_20261002
96
+ d,imperial_eskd scSemiProfiler 5-fold (scsemi__raw) lookup,missing,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/imperial_eskd/scsemi_cv_20261002
97
+ d,giroux2022 scSemiProfiler 5-fold (scsemi__raw) lookup,missing,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/giroux2022/scsemi_cv_20261002
98
+ d,ji2025_chili scSemiProfiler 5-fold (scsemi__raw) lookup,missing,/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scores/ji2025_chili/scsemi_cv_20261002