{"id":"W2116986705","doi":"10.1161/strokeaha.114.007486","title":"Intensity and Quality of Warfarin Anticoagulation in Chinese Patients","year":2014,"lang":"en","type":"letter","venue":"Stroke","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Population Health Research Institute","funders":"","keywords":"Warfarin; Medicine; Atrial fibrillation; Stroke (engine); Population; Emergency medicine; 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":[0.000768276,0.0001552134,0.0005379107,0.0005684724,0.001089063,0.0009485151,0.000431679,0.001986342,0.002251594],"category_scores_gemma":[0.007301951,0.0002034454,0.000463368,0.001856902,0.0004578795,0.0005683662,0.0003200815,0.001977356,0.0002621753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002318914,"about_ca_system_score_gemma":0.002088055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04390949,"about_ca_topic_score_gemma":0.07293687,"domain_scores_codex":[0.9993218,0.0001577864,0.0001731858,0.0000712769,0.0001327945,0.0001430429],"domain_scores_gemma":[0.9964923,0.0009622013,0.001029489,0.0001517641,0.0005377957,0.0008264618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002198271,0.0001224421,0.9769368,0.00006060155,0.0001487799,0.002238965,0.0005407676,0.0000587683,0.0001486403,0.0004005602,0.01100618,0.008117837],"study_design_scores_gemma":[0.0001178395,0.0001044849,0.9906825,0.0001008539,0.0001796839,0.00204617,0.001188318,0.0003815519,0.0000617519,0.0009008075,0.004197604,0.00003846441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7954045,0.003713387,0.0001023129,0.1824453,0.001012755,0.00002939296,0.0009093979,0.00001800475,0.01636491],"genre_scores_gemma":[0.9577954,0.00140869,0.0002004569,0.03601662,0.002641227,0.00002632593,0.0002562404,0.000006952871,0.001647972],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04390949,"threshold_uncertainty_score":0.08730781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07856835714998836,"score_gpt":0.3511387886971843,"score_spread":0.272570431547196,"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."}}