{"id":"W2284216733","doi":"10.1371/journal.pone.0149142","title":"The Influence of Socioeconomic Status on Selection of Anticoagulation for Atrial Fibrillation","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; St. Michael's Hospital; Sunnybrook Hospital; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Dabigatran; Medicine; Formulary; Atrial fibrillation; Socioeconomic status; Warfarin; Odds ratio; Context (archaeology); Internal medicine; Population; Confidence interval; Demography; Family medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004941642,0.0001476866,0.0001235875,0.0004967947,0.0004060496,0.0004542313,0.0002654023,0.0003133779,0.002029249],"category_scores_gemma":[0.003583361,0.000113546,0.0003911391,0.0005479601,0.0003471192,0.0002888313,0.0004808616,0.0003056384,0.0001385337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543261,"about_ca_system_score_gemma":0.0003423009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01720432,"about_ca_topic_score_gemma":0.02492453,"domain_scores_codex":[0.9995333,0.0001635717,0.00004476267,0.00006206337,0.00008212844,0.0001141921],"domain_scores_gemma":[0.9982576,0.000293688,0.0008802158,0.00007890158,0.0001307543,0.0003587565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002506718,0.000008233187,0.9993319,0.000002054228,0.00002308407,0.00002320118,0.00002313887,0.00001171614,0.00002466942,0.00001277328,0.00004289227,0.0004712651],"study_design_scores_gemma":[0.000001438727,0.00001807571,0.9996433,0.000003810784,0.000009361204,0.00005815717,0.00007080194,0.0001137748,0.000009440519,0.00001552862,0.00005517533,0.00000104416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989873,0.0001843034,0.00004757842,0.0001332412,0.000005905133,0.000002597179,0.000159064,9.572877e-7,0.000479061],"genre_scores_gemma":[0.9997998,0.00005082524,0.0000147838,0.00001397005,0.000004069187,9.500305e-7,0.00006500076,3.37016e-7,0.00005047052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01720432,"threshold_uncertainty_score":0.03420836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05975128301968698,"score_gpt":0.2996471050882056,"score_spread":0.2398958220685187,"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."}}