{"id":"W4394857110","doi":"10.1136/bmj-2023-078378","title":"TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods","year":2024,"lang":"en","type":"article","venue":"BMJ","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2199,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Hospital for Sick Children; Princess Margaret Cancer Centre; SickKids Foundation; University of Toronto; University Health Network","funders":"Health Data Research UK; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Engineering and Physical Sciences Research Council; University of Oxford; University of Warwick; Vlaamse regering; University of Cape Town; Medizinische Universität Wien; Universitair Medisch Centrum Utrecht; Universität Wien; Massachusetts Institute of Technology; European Commission; University of Toronto; Wellcome Trust; Cancer Research UK; University College London; Imperial College London; Hospital for Sick Children; Northwestern University; Feinberg School of Medicine; KU Leuven; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University of East Anglia; Medical Research Council; Department of Health and Social Care; National Institute for Health and Care Research; UK Research and Innovation; National Institute for Health and Care Excellence","keywords":"Tripod (photography); Checklist; Machine learning; Computer science; Artificial intelligence; Engineering; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2737943,0.002461788,0.004133505,0.0146725,0.002247476,0.009421997,0.008384278,0.007719589,0.05088967],"category_scores_gemma":[0.6376058,0.003226578,0.01192416,0.0104485,0.002960853,0.008693359,0.01039825,0.01048971,0.03485056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007521654,"about_ca_system_score_gemma":0.04376576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053085,"about_ca_topic_score_gemma":0.006956798,"domain_scores_codex":[0.6182736,0.1771617,0.1567548,0.004182602,0.0406635,0.002963867],"domain_scores_gemma":[0.2868783,0.3454575,0.1058851,0.03721898,0.2192877,0.005272483],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003849876,0.00005543844,0.0009650387,0.02769334,0.0003003002,0.00007293747,0.0005194535,0.0004462958,0.0002371916,0.005115082,0.8874963,0.07671357],"study_design_scores_gemma":[0.0009493273,0.0002441353,0.003013799,0.06237153,0.000635075,0.0004240634,0.000674817,0.0009034831,0.0006107521,0.01052104,0.9193838,0.0002682919],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002441383,0.05255773,0.2204309,0.2272415,0.06368518,0.09687448,0.2754077,0.01162694,0.04973429],"genre_scores_gemma":[0.01444224,0.05298239,0.4374526,0.05919714,0.01185443,0.2167271,0.1724487,0.005354146,0.02954123],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7262057,"threshold_uncertainty_score":0.895541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6858774773057498,"score_gpt":0.6456531830595321,"score_spread":0.04022429424621765,"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."}}