{"id":"W3038120763","doi":"10.1002/ccd.29116","title":"Impact of lesion preparation strategies on outcomes of left main <scp>PCI</scp>: The <scp>EXCEL</scp> trial","year":2020,"lang":"en","type":"article","venue":"Catheterization and Cardiovascular Interventions","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal","funders":"Abbott Vascular","keywords":"Medicine; Mace; Conventional PCI; Percutaneous coronary intervention; Stent; Myocardial infarction; Lesion; Angioplasty; Restenosis; Cardiology; Balloon; Target lesion; Clinical endpoint; Internal medicine; Stroke (engine); Surgery; Randomized controlled trial","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":[0.0003745026,0.0002071304,0.0005661371,0.0001339425,0.000108422,0.00005811457,0.0001283512,0.0001061066,0.00005318708],"category_scores_gemma":[0.001059106,0.0001467091,0.002975086,0.0002183759,0.0001303052,0.0001500156,0.00007097441,0.0001421215,0.000009631259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003324818,"about_ca_system_score_gemma":0.0000889211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002580775,"about_ca_topic_score_gemma":0.000006635365,"domain_scores_codex":[0.9982703,0.0002342353,0.0006756969,0.0002863793,0.0003697939,0.0001636458],"domain_scores_gemma":[0.9986745,0.0002709985,0.000243473,0.0004826765,0.0002108829,0.000117512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008327731,0.03027266,0.4173263,0.01495951,0.09193873,0.0003184594,0.0718661,0.07949783,0.08626167,0.06075657,0.05509934,0.0833751],"study_design_scores_gemma":[0.05335968,0.02904564,0.872793,0.002353623,0.007614101,0.0002399021,0.01323188,0.004710115,0.007824384,0.001574661,0.006987482,0.0002655604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670529,0.001066603,0.02930634,0.0001157545,0.0001854718,0.0009472756,0.000147289,0.00004417812,0.001134155],"genre_scores_gemma":[0.9987822,0.0002953688,0.00008131182,0.00004890369,0.00009387174,0.00004427964,0.0002181597,0.00002452938,0.0004113788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4554667,"threshold_uncertainty_score":0.5982625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529590889606113,"score_gpt":0.3390172336760882,"score_spread":0.2860581447154769,"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."}}