{"id":"W2330918280","doi":"10.1016/j.cjca.2011.07.238","title":"312 Understanding treatment gaps with warfarin managment in nonvalvular AF","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Medicine; Guideline; Stroke (engine); Cohort; Warfarin; Retrospective cohort study; Emergency medicine; Intensive care medicine; Atrial fibrillation; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01512011,0.0002171793,0.00107096,0.001486846,0.001705935,0.003720342,0.0009894039,0.002099978,0.006234502],"category_scores_gemma":[0.1012216,0.0003290777,0.0006465655,0.001565163,0.001001992,0.008029085,0.001648212,0.003083537,0.0003481695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004820421,"about_ca_system_score_gemma":0.01634059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04180221,"about_ca_topic_score_gemma":0.0899455,"domain_scores_codex":[0.9916053,0.00397008,0.001428141,0.0004349299,0.001823011,0.00073849],"domain_scores_gemma":[0.9381355,0.04232328,0.007629423,0.0007643307,0.008609094,0.002538292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001377017,0.001916735,0.3259179,0.004469345,0.0008041642,0.001124583,0.01371021,0.002342569,0.0003104277,0.02926283,0.05839536,0.5603688],"study_design_scores_gemma":[0.001067771,0.001664396,0.5272282,0.03599405,0.002452984,0.004805876,0.07864213,0.02204638,0.001144553,0.1629603,0.1616496,0.0003437697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2945574,0.09071814,0.00325407,0.5709896,0.001497411,0.0001306214,0.001075326,0.00005527031,0.03772216],"genre_scores_gemma":[0.9523347,0.02456985,0.003875647,0.01685998,0.001242976,0.00008376477,0.0003849495,0.00001223767,0.0006358947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04180221,"threshold_uncertainty_score":0.08311778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.173301598663549,"score_gpt":0.2939397870762425,"score_spread":0.1206381884126936,"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."}}