{"id":"W2981473762","doi":"10.1056/nejmc1816189","title":"Coronary CT Angiography and Subsequent Risk of Myocardial Infarction","year":2019,"lang":"en","type":"letter","venue":"New England Journal of Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université Laval","funders":"British Heart Foundation","keywords":"Medicine; Myocardial infarction; Coronary angiography; Cardiology; Angiography; Internal medicine; Radiology","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":[0.0004821205,0.000213614,0.0004725622,0.0008476255,0.00104516,0.001307764,0.0003874268,0.00777093,0.006048952],"category_scores_gemma":[0.005597351,0.0003529529,0.0003321863,0.0009033246,0.0004564838,0.0005251772,0.000317615,0.003882215,0.001514396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007190826,"about_ca_system_score_gemma":0.0007418059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004788315,"about_ca_topic_score_gemma":0.01003311,"domain_scores_codex":[0.9996493,0.0001023192,0.00003776453,0.00003919292,0.00009544889,0.00007593305],"domain_scores_gemma":[0.9978204,0.0007880579,0.0003488678,0.0001184471,0.0002935113,0.0006307302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001147523,0.0004355255,0.7921849,0.0001037203,0.0002445147,0.04126273,0.0004306866,0.0002273322,0.0009798669,0.002518196,0.1410344,0.01943047],"study_design_scores_gemma":[0.0004779048,0.0005497477,0.8030653,0.0006927547,0.0005757177,0.09409209,0.001413486,0.004281709,0.0005222608,0.009993078,0.08415066,0.0001852311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3812912,0.01195509,0.0004730862,0.487203,0.01105581,0.0000634518,0.001530314,0.0001098452,0.1063183],"genre_scores_gemma":[0.8851062,0.004633318,0.0005817948,0.06954525,0.02685549,0.00005289329,0.0005750587,0.00003250337,0.01261757],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.00777093,"threshold_uncertainty_score":0.02023572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143817798278714,"score_gpt":0.2496481896160797,"score_spread":0.2382100116332926,"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."}}