{"id":"W2261401958","doi":"10.1161/circoutcomes.8.suppl_2.150","title":"Abstract 150: Antithrombotic Use in Nonvalvular Atrial Fibrillation (NVAF): Alignment between Guidelines and Emerging Evidence with Clinician Prescribing Preferences","year":2015,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Medicine; Dabigatran; Apixaban; Antithrombotic; Dosing; Rivaroxaban; Stroke (engine); Atrial fibrillation; Emergency medicine; Warfarin; Medical prescription; Logistic regression; Internal medicine; Intensive care 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":[0.01044674,0.0002583678,0.000586842,0.001735867,0.00025496,0.001708842,0.0005383683,0.001124349,0.0111381],"category_scores_gemma":[0.04481746,0.0001912509,0.001520429,0.003174718,0.000503486,0.001231165,0.0008162339,0.0007473027,0.001100835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009145457,"about_ca_system_score_gemma":0.001366818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130787,"about_ca_topic_score_gemma":0.003351999,"domain_scores_codex":[0.9928404,0.003386672,0.001572301,0.0003936388,0.00166509,0.0001417852],"domain_scores_gemma":[0.9536088,0.02418148,0.01578753,0.001093118,0.004608901,0.0007202682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001197765,0.0005709958,0.8459401,0.006479957,0.002297503,0.000188717,0.0006272772,0.001126528,0.0006189941,0.001628072,0.02357401,0.1157502],"study_design_scores_gemma":[0.0003099297,0.000671144,0.9796285,0.003444312,0.001140278,0.0003750743,0.0006892026,0.002524514,0.0004256419,0.00153613,0.009216862,0.00003839171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899755,0.02336054,0.005385854,0.02448959,0.0006255537,0.001385762,0.02492332,0.0001277859,0.02972603],"genre_scores_gemma":[0.9819176,0.003513624,0.004991029,0.003364177,0.0004130434,0.0005013964,0.00432399,0.000014847,0.0009602985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111381,"threshold_uncertainty_score":0.05524832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4429320906783602,"score_gpt":0.4292577238079386,"score_spread":0.01367436687042156,"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."}}