{"id":"W2914521613","doi":"10.1161/circ.132.suppl_3.13611","title":"Abstract 13611: Adherence to Non-VKA Oral Anticoagulant Medications Based on the Pharmacy Quality Alliance Measure","year":2015,"lang":"en","type":"article","venue":"Circulation","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Medicine; Pharmacy; Measure (data warehouse); Oral anticoagulant; Anticoagulant; Intensive care medicine; Quality (philosophy); Warfarin; Atrial fibrillation; Family medicine; Internal medicine","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":[0.004129473,0.0003562204,0.0006172162,0.00279637,0.0004051819,0.001006696,0.001015814,0.0005064452,0.007110089],"category_scores_gemma":[0.01346214,0.0001851103,0.001250365,0.003730332,0.0003257419,0.001100956,0.00119364,0.0009708516,0.001204052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114007,"about_ca_system_score_gemma":0.001061077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005413676,"about_ca_topic_score_gemma":0.004365318,"domain_scores_codex":[0.9951356,0.001277798,0.001169027,0.0003628696,0.001828561,0.0002262481],"domain_scores_gemma":[0.9787866,0.002490593,0.0137544,0.0007058791,0.002999166,0.001263397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002641847,0.000322758,0.9791799,0.0001599996,0.0003387143,0.00001793866,0.00008320325,0.0004540173,0.00008706754,0.000284071,0.0071864,0.0116216],"study_design_scores_gemma":[0.00005023985,0.0001818796,0.9970381,0.00003319935,0.00003724742,0.00004931644,0.00004829901,0.000722513,0.00009113829,0.000112149,0.001628415,0.000007491782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.875628,0.000992779,0.004968499,0.001406501,0.00009758036,0.00227384,0.08669159,0.0003173102,0.02762391],"genre_scores_gemma":[0.9664466,0.0002699122,0.004832002,0.0002615929,0.00008494077,0.001581413,0.0244054,0.000022676,0.002095436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007110089,"threshold_uncertainty_score":0.02378559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1470438732340018,"score_gpt":0.3777094868042971,"score_spread":0.2306656135702953,"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."}}