{"id":"W2775559428","doi":"10.1161/circgenetics.117.001804","title":"Personalized Anticoagulation","year":2017,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; Aurora Research Institute","keywords":"Medicine; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00261389,0.0006444713,0.0005990972,0.000777106,0.0005857761,0.003766323,0.001107941,0.001728963,0.08530448],"category_scores_gemma":[0.009143739,0.0002671095,0.0006358727,0.001140007,0.0007826746,0.00197251,0.002452012,0.001877419,0.03282963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115021,"about_ca_system_score_gemma":0.002341266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001169101,"about_ca_topic_score_gemma":0.0009720112,"domain_scores_codex":[0.9975055,0.0008995683,0.000178592,0.0004572372,0.0008097068,0.0001494564],"domain_scores_gemma":[0.9973604,0.0008621981,0.0002707819,0.0006883478,0.0005526124,0.0002656976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001834967,0.00008898965,0.004890458,0.0008657398,0.0001581094,0.0002439113,0.0003366255,0.002064883,0.0007756214,0.1022035,0.2999648,0.5882239],"study_design_scores_gemma":[0.0000504237,0.00006229263,0.001309061,0.0004010899,0.00004893818,0.0006239038,0.00006050411,0.001310608,0.0003357775,0.0457474,0.9500289,0.00002111989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01205371,0.03746861,0.127028,0.08781596,0.00540808,0.0005791882,0.009273305,0.003908404,0.7164646],"genre_scores_gemma":[0.3959468,0.0727525,0.1291104,0.05385276,0.01082262,0.001376484,0.01684382,0.001439471,0.3178552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08530448,"threshold_uncertainty_score":0.2853719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104567021850557,"score_gpt":0.3403709542490333,"score_spread":0.2358039323984763,"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."}}