{"id":"W6902072599","doi":"10.6084/m9.figshare.26630134","title":"Additional file 10 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; Immune checkpoint; Pembrolizumab; Immunotherapy; Adverse effect","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":[0.001322035,0.001071983,0.001454185,0.00203696,0.0006403627,0.001671942,0.001382224,0.001356435,0.8510969],"category_scores_gemma":[0.03789536,0.0005173053,0.001329675,0.002894332,0.0001760095,0.001725973,0.001014944,0.0009094328,0.1234022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008873347,"about_ca_system_score_gemma":0.001320673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007090883,"about_ca_topic_score_gemma":0.009724714,"domain_scores_codex":[0.999081,0.0001807567,0.0002226084,0.0002222845,0.0001544679,0.0001388693],"domain_scores_gemma":[0.9724197,0.02095484,0.002234393,0.001150785,0.00264805,0.0005923086],"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":[0.0008137774,0.00009033002,0.00683075,0.003972638,0.000120381,0.0001038514,0.00005142738,0.0004226565,0.00008349415,0.0004450756,0.9756506,0.01141488],"study_design_scores_gemma":[0.01634808,0.0007175877,0.1484035,0.01360608,0.0009727171,0.001771449,0.0008652834,0.004504065,0.001386476,0.0192814,0.7917792,0.0003642534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000350762,0.00004095974,0.0001474864,0.0001560682,0.00003005319,0.00006586733,0.9981037,0.0002091174,0.0008959323],"genre_scores_gemma":[0.02598174,0.0003588934,0.003128427,0.001434267,0.0003426656,0.002362166,0.9497314,0.0009924336,0.01566803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8510969,"threshold_uncertainty_score":0.2123922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403239318021246,"score_gpt":0.2316679660911989,"score_spread":0.2176355729109864,"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."}}