{"id":"W2538787407","doi":"10.1016/j.jcin.2016.08.011","title":"Impact of Operator Experience and Volume on Outcomes After Left Main Coronary Artery Percutaneous Coronary Intervention","year":2016,"lang":"en","type":"article","venue":"JACC: Cardiovascular Interventions","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Conventional PCI; Medicine; Percutaneous coronary intervention; Hazard ratio; Confidence interval; Cardiology; Coronary artery disease; Proportional hazards model; Internal medicine; Artery; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003906607,0.0003965432,0.0008794224,0.000342433,0.0001073023,0.00004462723,0.0001876064,0.0001653758,0.004387878],"category_scores_gemma":[0.0003593099,0.0002760267,0.005781585,0.0001378178,0.0002894854,0.000299102,0.0002154235,0.0002048749,0.0001668714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000319693,"about_ca_system_score_gemma":0.00006336159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009347401,"about_ca_topic_score_gemma":0.0000479255,"domain_scores_codex":[0.9973388,0.0002309722,0.000914861,0.0006102075,0.0005059614,0.0003992213],"domain_scores_gemma":[0.9980951,0.0001539229,0.0001441543,0.001085363,0.0002509792,0.0002704739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008764437,0.002155945,0.9196357,0.0003745797,0.00542215,0.00255934,0.000382623,0.00003276803,0.001044579,0.0001022915,0.001224589,0.06618904],"study_design_scores_gemma":[0.002773002,0.002643991,0.9814996,0.002595232,0.0009232173,0.007994223,0.0002745857,0.00003815085,0.00010023,0.00006803702,0.0007689201,0.0003208637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990679,0.002976851,0.004208459,0.0002285434,0.0004310735,0.0007405803,0.0004105431,0.0000834642,0.000241459],"genre_scores_gemma":[0.9955239,0.0003311408,0.0003556353,0.0000641944,0.00007618376,0.0001356187,0.00005184087,0.00005800781,0.003403508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06586818,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802241965745463,"score_gpt":0.30113300518106,"score_spread":0.2831105855236054,"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."}}