{"id":"W6939975215","doi":"10.6084/m9.figshare.26630128.v1","title":"Additional file 8 of Autoimmune PaneLs as PrEdictors of Toxicity in Patients TReated with Immune Checkpoint InhibiTors (ALERT)","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Toxicity; Immune system; Pembrolizumab; Immune checkpoint; Immunotherapy; Nivolumab","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001418839,0.001091851,0.001495404,0.002232474,0.0006844955,0.001548951,0.001476239,0.001317205,0.8614901],"category_scores_gemma":[0.04027903,0.000518002,0.001408927,0.003215167,0.0001948759,0.001678559,0.0009489992,0.0009368303,0.1275679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008316558,"about_ca_system_score_gemma":0.001242755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00650704,"about_ca_topic_score_gemma":0.008812812,"domain_scores_codex":[0.9990004,0.0002098795,0.0002438991,0.0002356703,0.0001648777,0.0001453761],"domain_scores_gemma":[0.9647579,0.02785818,0.002364539,0.001345821,0.00303794,0.0006356158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007949466,0.00009069856,0.006316178,0.004335862,0.0001211905,0.0001028854,0.00005596325,0.0004137059,0.00008865518,0.0004409157,0.9758072,0.01143166],"study_design_scores_gemma":[0.01571695,0.0007511562,0.1341059,0.01361033,0.0009964537,0.001875149,0.0008596852,0.004454231,0.001344662,0.01988561,0.8060419,0.0003579218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003605658,0.00004507575,0.0001831825,0.0001528235,0.00003490266,0.00007163249,0.9980181,0.0002104719,0.0009231522],"genre_scores_gemma":[0.02511827,0.0004090639,0.00381869,0.001496255,0.0003727198,0.002595319,0.9467136,0.001101983,0.01837398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8614901,"threshold_uncertainty_score":0.1975676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325441491396353,"score_gpt":0.2285964327492949,"score_spread":0.2153420178353314,"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."}}