{"id":"W7103141124","doi":"10.18130/v3/k7tgem","title":"Cell Maps for Artificial Intelligence - October 2025 Data Release (Beta)","year":2025,"lang":"","type":"dataset","venue":"Libra","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Simon Fraser University","funders":"","keywords":"Breast cancer; Induced pluripotent stem cell; Cancer cell; Big data; Cancer; Genomics; Data mapping; Progenitor cell","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001369612,0.002549849,0.001411341,0.002404928,0.001081964,0.00370265,0.003751534,0.001924294,0.274893],"category_scores_gemma":[0.006689656,0.0009974241,0.001962256,0.004654151,0.0004137239,0.002379114,0.00314565,0.00283527,0.395864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421093,"about_ca_system_score_gemma":0.002451434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039161,"about_ca_topic_score_gemma":0.03424569,"domain_scores_codex":[0.9986998,0.0001369285,0.0001152636,0.0002969362,0.0005384127,0.0002127377],"domain_scores_gemma":[0.9973909,0.0004194599,0.0001264558,0.0006899358,0.001026968,0.0003462413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002596733,0.000007703311,0.0001816012,0.0001359506,0.000009328585,0.000006633328,0.000008568133,0.00017032,0.0001170072,0.0004090586,0.9968225,0.002105372],"study_design_scores_gemma":[0.00009506779,0.00001328575,0.000994593,0.00008743459,0.00001015155,0.00002144099,0.00003823751,0.0004982194,0.0005966941,0.001595717,0.9960294,0.00001965526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000770448,0.00003177577,0.0003564356,0.0001107587,0.00008978471,0.00001802903,0.9941401,0.002470359,0.00270559],"genre_scores_gemma":[0.0001997862,0.00002990951,0.0006085752,0.00006210659,0.000007882348,0.00006056718,0.9970579,0.000564259,0.001409074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.274893,"threshold_uncertainty_score":0.9196088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08711149335893976,"score_gpt":0.33325473304519,"score_spread":0.2461432396862502,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}