{"id":"W6977617874","doi":"10.6084/m9.figshare.26630131.v1","title":"Additional file 9 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; Immunotherapy; Antibody; Immune checkpoint; Pembrolizumab","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":[0.001360741,0.000981465,0.001441975,0.001983694,0.0006119994,0.001616681,0.001264096,0.001274657,0.8382165],"category_scores_gemma":[0.03946573,0.000491389,0.001234823,0.002789998,0.0001712682,0.00154223,0.0009519247,0.0008150045,0.1114612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000870491,"about_ca_system_score_gemma":0.001299851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005506244,"about_ca_topic_score_gemma":0.008091957,"domain_scores_codex":[0.9990355,0.0001759665,0.0002683015,0.0002120216,0.0001692823,0.0001389952],"domain_scores_gemma":[0.9683943,0.02375793,0.00284005,0.001309734,0.003070618,0.0006273336],"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":[0.001017562,0.0001284072,0.007935346,0.005094275,0.0001479141,0.0001165888,0.00005328784,0.0004314329,0.0001022161,0.0004406031,0.9709498,0.01358271],"study_design_scores_gemma":[0.02099639,0.0009738259,0.1629649,0.01488783,0.001063105,0.001882822,0.0007280074,0.004161484,0.001556419,0.01660719,0.7738157,0.0003624041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000381198,0.00003878076,0.0001254539,0.0001384941,0.00002843342,0.00007530131,0.9982315,0.0001819926,0.0007989468],"genre_scores_gemma":[0.0229281,0.0003094296,0.002787997,0.00122948,0.0003145732,0.002588691,0.9554416,0.0007145819,0.0136856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382165,"threshold_uncertainty_score":0.2307644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326055222448289,"score_gpt":0.2286272085233804,"score_spread":0.2153666562988976,"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."}}