{"id":"W4383904018","doi":"10.1016/j.ajt.2023.07.005","title":"Automation of Banff rules for precision diagnosis","year":2023,"lang":"en","type":"letter","venue":"American Journal of Transplantation","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Overdiagnosis; Medicine; Transplantation; Pathology; Intensive care medicine; Surgery","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":[0.01311436,0.0005386554,0.001182849,0.00147376,0.00133372,0.003199891,0.002154595,0.006871317,0.005247668],"category_scores_gemma":[0.04959469,0.0006131565,0.001240351,0.0006605677,0.002437776,0.002609537,0.001324659,0.009267602,0.003457821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938693,"about_ca_system_score_gemma":0.002537432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004511077,"about_ca_topic_score_gemma":0.00684299,"domain_scores_codex":[0.9914278,0.003078898,0.0007063975,0.0006433307,0.003658186,0.0004853992],"domain_scores_gemma":[0.9491965,0.03815614,0.0008348615,0.004210286,0.00695511,0.0006470868],"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":[0.0009904002,0.0001489191,0.003725129,0.0001619824,0.0001210886,0.002408873,0.0003056624,0.006267156,0.005604911,0.1280352,0.5206955,0.3315351],"study_design_scores_gemma":[0.0004454227,0.0002106232,0.001576556,0.0002338106,0.0001101789,0.003793238,0.0001483063,0.08982695,0.01214319,0.3702075,0.5211776,0.0001266241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01131422,0.004052294,0.4175359,0.4923064,0.02419472,0.0003660168,0.001019735,0.00513794,0.0440728],"genre_scores_gemma":[0.3127074,0.002929498,0.4665303,0.1633753,0.02814095,0.0005191595,0.001152111,0.0006757292,0.02396958],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01311436,"threshold_uncertainty_score":0.0693562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066672687063896,"score_gpt":0.2650693261711495,"score_spread":0.2544025993005105,"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."}}