{"id":"W6958750093","doi":"10.6084/m9.figshare.26630119","title":"Additional file 5 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; Autoimmune disease; Disease; Immunotherapy; Immune system; Pembrolizumab; Immune checkpoint","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":["insufficient_payload"],"category_scores_codex":[0.00121464,0.001002469,0.001449442,0.002080481,0.0006022864,0.001554585,0.001277178,0.001223192,0.8740715],"category_scores_gemma":[0.036442,0.0004937812,0.001317709,0.003087283,0.000175958,0.001620018,0.0009261501,0.0008958374,0.128674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000894449,"about_ca_system_score_gemma":0.001224987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006652875,"about_ca_topic_score_gemma":0.009338793,"domain_scores_codex":[0.9991393,0.0001781547,0.0002168913,0.0002065998,0.000137911,0.0001211102],"domain_scores_gemma":[0.9687608,0.02466332,0.002214201,0.001087693,0.002666308,0.0006076847],"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":[0.0007719942,0.00008687718,0.005564315,0.004281285,0.0001172355,0.0001023635,0.00004876911,0.000422385,0.00007695857,0.000499616,0.9762018,0.01182629],"study_design_scores_gemma":[0.01393795,0.0006995819,0.1101872,0.0136305,0.0008931181,0.001832617,0.0006585214,0.003807653,0.001198148,0.01935629,0.8335029,0.000295395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003188783,0.00004462712,0.0001550379,0.0001503671,0.00003249784,0.00006637807,0.9979557,0.0001785994,0.00109794],"genre_scores_gemma":[0.02118355,0.0003965691,0.003347956,0.001532923,0.0003535062,0.002075263,0.9522426,0.0009596391,0.01790797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1259285,"threshold_uncertainty_score":0.1796217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325066289314998,"score_gpt":0.2285902604853267,"score_spread":0.2153395975921767,"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."}}