{"id":"W2996649690","doi":"10.1002/clc.23316","title":"Time‐trends and treatment gaps in the antithrombotic management of patients with atrial fibrillation after percutaneous coronary intervention: Insights from the CHUM AF‐STENT Registry","year":2019,"lang":"en","type":"article","venue":"Clinical Cardiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Percutaneous coronary intervention; Conventional PCI; Atrial fibrillation; Internal medicine; Antithrombotic; Cohort; Context (archaeology); Guideline; Cardiology; Concomitant; Regimen; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002272715,0.0001425246,0.0005429175,0.00004500659,0.00003007868,0.00001019751,0.00008075759,0.0001077773,0.000134847],"category_scores_gemma":[0.00002580181,0.00006971129,0.0003389538,0.0001149483,0.0001889818,0.00003821713,0.00007891574,0.00009627561,0.00003541382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003911238,"about_ca_system_score_gemma":0.0000104726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001478591,"about_ca_topic_score_gemma":0.00001036502,"domain_scores_codex":[0.9985268,0.0003462063,0.0005167177,0.0003003105,0.0001885502,0.0001214252],"domain_scores_gemma":[0.9987826,0.000546178,0.0001736405,0.0004276025,0.0000379075,0.00003204196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002392446,0.0000118032,0.983898,0.00002263932,0.0005410262,0.00007986007,0.0001048678,0.0001273595,0.000001012529,0.00005628556,0.000076835,0.0126879],"study_design_scores_gemma":[0.00429323,0.001562564,0.9853599,0.00007559538,0.0005822401,0.00001654527,0.0001970282,0.00009051558,1.843371e-7,0.00005066246,0.007694206,0.00007731075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961671,0.0007493867,0.0000074427,0.001070951,0.0003658152,0.0007347318,0.00001442419,0.0000114319,0.0008786702],"genre_scores_gemma":[0.9980051,0.0003291538,0.00007405814,0.00008760211,0.000681505,0.000002067936,0.0001829468,0.000009887528,0.0006277112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261059,"threshold_uncertainty_score":0.2842744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708040007284865,"score_gpt":0.326149998932647,"score_spread":0.2890695988597983,"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."}}