{"id":"W2806289570","doi":"10.1002/pds.4570","title":"Methodological challenges in assessment of current use of warfarin among patients with atrial fibrillation using dispensation data from administrative health care databases","year":2018,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","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":"Canadian Institutes of Health Research","keywords":"Medicine; Warfarin; Rivaroxaban; Dabigatran; Apixaban; Atrial fibrillation; Emergency medicine; Pharmacist; Retrospective cohort study; Cohort; Intensive care medicine; Internal medicine; Pharmacy; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2919965,0.001341516,0.002493733,0.007312754,0.00201007,0.005488894,0.006150121,0.001769939,0.001059683],"category_scores_gemma":[0.5996805,0.001399191,0.004341106,0.01466274,0.002643675,0.003027363,0.005886934,0.002662961,0.0004176332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003930761,"about_ca_system_score_gemma":0.00719121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0435633,"about_ca_topic_score_gemma":0.02996457,"domain_scores_codex":[0.5137165,0.3732069,0.05750554,0.01916128,0.03451852,0.001891279],"domain_scores_gemma":[0.3935,0.4401546,0.07695895,0.05643452,0.0311725,0.00177933],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005434267,0.0002205267,0.8847511,0.003937502,0.01002299,0.000210019,0.004409586,0.008685536,0.0002114923,0.01122898,0.008578642,0.06720003],"study_design_scores_gemma":[0.0005459362,0.0007999474,0.8189806,0.009861964,0.003728529,0.001209242,0.007993968,0.05098157,0.001212758,0.05963625,0.04455602,0.0004932537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3797584,0.02407342,0.4972074,0.03223266,0.002662777,0.008698571,0.04075261,0.0005828735,0.01403132],"genre_scores_gemma":[0.8117375,0.002566803,0.1567691,0.006232407,0.00097677,0.009096014,0.01173131,0.0001526354,0.0007373623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7080035,"threshold_uncertainty_score":0.8730944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7283680174277766,"score_gpt":0.5687940946595549,"score_spread":0.1595739227682217,"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."}}