{"id":"W1950079474","doi":"10.1161/circheartfailure.114.002024","title":"Clinical Characteristics and Outcomes of Patients With Coronary Artery Disease and Angina","year":2015,"lang":"en","type":"article","venue":"Circulation Heart Failure","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University; Hamilton Health Sciences","funders":"","keywords":"Medicine; Internal medicine; Cardiology; Coronary artery disease; Angina; Hazard ratio; Myocardial infarction; Ejection fraction; Heart failure; Unstable angina; Proportional hazards model; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001043974,0.00007406066,0.0002398903,0.0000393123,0.00002081878,0.000009910253,0.000009009393,0.00003761266,0.000003903438],"category_scores_gemma":[0.0003433571,0.00005934424,0.00003323572,0.0000421093,0.00009936294,0.00006178025,0.00001564372,0.00006824961,0.000003131127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009511602,"about_ca_system_score_gemma":0.00006058855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002292148,"about_ca_topic_score_gemma":3.916144e-7,"domain_scores_codex":[0.9994261,0.00002776139,0.0001761873,0.0001336899,0.0001589793,0.00007726513],"domain_scores_gemma":[0.9992715,0.0001157377,0.00004930215,0.000143899,0.0001698736,0.0002496516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000956544,0.00008443547,0.9976994,0.00003941561,0.00003259544,0.000008245543,0.00005245324,0.000001618514,0.000002417113,0.00002167883,0.0009561344,0.001005925],"study_design_scores_gemma":[0.00168177,0.00009406319,0.9960907,0.0000488583,0.000162952,0.00001089957,0.0000278619,0.0001319239,4.861045e-7,0.00002707637,0.001657504,0.00006588164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981443,0.0001177677,0.0001210962,0.001241683,0.00008431339,0.0002085157,0.00004110455,0.00002026894,0.00002089509],"genre_scores_gemma":[0.9987524,0.000003634054,0.0006723427,0.000351477,0.00005977939,0.000002992514,0.0001305568,0.000009825916,0.00001699746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001608703,"threshold_uncertainty_score":0.2419988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065867080348963,"score_gpt":0.287921080662237,"score_spread":0.2672624098587474,"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."}}