{"id":"W2911050760","doi":"10.1161/circulationaha.117.028782","title":"Angiography Versus Hemodynamics to Predict the Natural History of Coronary Stenoses","year":2017,"lang":"en","type":"article","venue":"Circulation","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Hemodynamics; Cardiology; Natural history; Angiography; Coronary angiography; Internal medicine; Radiology; Myocardial infarction","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":[0.002640584,0.0003202473,0.0003898528,0.0007410906,0.0002158549,0.000491627,0.0002364084,0.0006977053,0.001046552],"category_scores_gemma":[0.00688528,0.0001987356,0.0002883251,0.00042896,0.0003995634,0.0003561212,0.0003350766,0.0005069277,0.0002250657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538232,"about_ca_system_score_gemma":0.000222867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002637536,"about_ca_topic_score_gemma":0.0006016805,"domain_scores_codex":[0.9988096,0.0006831022,0.00009280647,0.0001523026,0.0001686707,0.00009354659],"domain_scores_gemma":[0.9938737,0.003433798,0.001387557,0.0002761168,0.0002548168,0.0007739966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006604825,0.00003147454,0.9977742,0.000005083798,0.00004792104,0.00003013004,0.0000112222,0.0001035957,0.00009675664,0.000007415375,0.00003431674,0.001197412],"study_design_scores_gemma":[0.0000773265,0.0005641851,0.9972079,0.000007805068,0.00006822432,0.0004222186,0.0000299069,0.001308079,0.0001360886,0.00007594913,0.00009707679,0.00000514418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991363,0.0003479983,0.00009930336,0.00005469173,0.000007448875,0.00000587231,0.00005020677,0.000002392858,0.0002958973],"genre_scores_gemma":[0.9996928,0.00004269445,0.00009124441,0.00001513712,0.00002608535,0.000003870809,0.00009049377,7.891712e-7,0.00003696694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002640584,"threshold_uncertainty_score":0.01396495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977060269290487,"score_gpt":0.2840757880712209,"score_spread":0.254305185378316,"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."}}