{"id":"W2738751810","doi":"10.1177/1060028017723348","title":"Assessment of Oral Anticoagulant Use in Residents of Long-Term Care Homes: Evidence for Contemporary Suboptimal Use","year":2017,"lang":"en","type":"article","venue":"Annals of Pharmacotherapy","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Waterloo CFD Engineering Consulting","funders":"Bristol-Myers Squibb","keywords":"Medicine; Warfarin; Atrial fibrillation; Pulmonary embolism; Retrospective cohort study; Anticoagulant; Emergency medicine; Venous thromboembolism; Oral anticoagulant; Intensive care medicine; Internal medicine; Thrombosis","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":[0.002669198,0.0001701373,0.00030498,0.001578777,0.0004488728,0.0007905508,0.0006436378,0.0003869628,0.000808136],"category_scores_gemma":[0.01569356,0.0002032998,0.0003959081,0.002053731,0.0006520872,0.0006739756,0.0007790903,0.0003665864,0.0001089208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008801453,"about_ca_system_score_gemma":0.001073085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02475308,"about_ca_topic_score_gemma":0.03312722,"domain_scores_codex":[0.9975024,0.0005712917,0.0005524743,0.0003130614,0.0008685467,0.0001922893],"domain_scores_gemma":[0.9812704,0.002542231,0.01226976,0.0005136786,0.002739394,0.0006645657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008825009,0.000006756793,0.999154,0.00001135519,0.00001822423,0.00001318359,0.00008080922,0.00001003646,0.00001334464,0.000002857669,0.00003224266,0.0006483683],"study_design_scores_gemma":[0.000001116544,0.00003083447,0.9992486,0.00002575985,0.0000101369,0.0001010989,0.0004171611,0.00007230752,0.00002163397,0.000005276524,0.00006435305,0.000001826923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998072,0.0008737338,0.0001093812,0.0001454232,0.000005714865,0.00001035187,0.000283691,0.00000458542,0.0004950202],"genre_scores_gemma":[0.9993881,0.0002295318,0.000151216,0.00003062205,0.000008108597,0.000006655209,0.0001573452,8.255772e-7,0.0000275895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02475308,"threshold_uncertainty_score":0.04921806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5673827629587146,"score_gpt":0.5673622141705243,"score_spread":0.00002054878819024442,"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."}}