{"id":"W7080979018","doi":"","title":"Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data","year":2022,"lang":"en","type":"other","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université de Montréal; Montreal Heart Institute; University of Ottawa","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Coronary artery disease; Cutoff; Pre- and post-test probability; Chest pain; Computed tomography angiography; Angiography; Coronary angiography; Computed tomography","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":[0.02712138,0.003698477,0.01378476,0.004999186,0.0006609875,0.003427188,0.002431608,0.002833345,0.002218349],"category_scores_gemma":[0.04186413,0.001659719,0.05953309,0.005270406,0.0008495051,0.0017691,0.001754133,0.002184737,0.0002897583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144143,"about_ca_system_score_gemma":0.001072583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004770457,"about_ca_topic_score_gemma":0.007141764,"domain_scores_codex":[0.9775631,0.01390917,0.003078207,0.00332858,0.001550986,0.0005699532],"domain_scores_gemma":[0.9501292,0.03859103,0.005563914,0.003589374,0.001594051,0.0005324343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004242776,0.00002147331,0.02981788,0.0104421,0.9524179,0.00007824391,0.00002824865,0.0005897512,0.0001660294,0.00004135739,0.0002122673,0.001942052],"study_design_scores_gemma":[0.0005084632,0.0002085885,0.01403443,0.0007369834,0.9832919,0.00007591307,0.0000210816,0.0005462682,0.00009731057,0.0001413791,0.0003211005,0.00001655862],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1384485,0.8494631,0.006103047,0.0008399189,0.0009151681,0.0004127886,0.002761907,0.0001683684,0.0008871357],"genre_scores_gemma":[0.927746,0.06403008,0.003658667,0.0007994577,0.0005590437,0.0006376246,0.001977611,0.00009655138,0.0004949089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02712138,"threshold_uncertainty_score":0.1434333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0790870775538903,"score_gpt":0.2878434682449953,"score_spread":0.208756390691105,"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."}}