{"id":"W2130602228","doi":"10.1503/cmaj.090396","title":"Can anticoagulation care be improved with technology?","year":2009,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Warfarin; Computer science; Medicine; Intensive care medicine; Medical physics; Medical emergency; Internal medicine; Atrial fibrillation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005012365,0.0009955904,0.001095084,0.001017882,0.003079355,0.005126601,0.00178905,0.03807497,0.01581845],"category_scores_gemma":[0.03565339,0.000398274,0.0008583512,0.0008921335,0.002996636,0.008886697,0.001817942,0.02869981,0.008056873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003285493,"about_ca_system_score_gemma":0.003858696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003330437,"about_ca_topic_score_gemma":0.008012839,"domain_scores_codex":[0.9954624,0.001218511,0.0005425554,0.0003918979,0.001922762,0.0004619164],"domain_scores_gemma":[0.9849831,0.008886529,0.001156782,0.0003167549,0.002600782,0.002055881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004584477,0.00007962506,0.0009821568,0.0001354385,0.00001633446,0.001326686,0.0001493313,0.00006354594,0.000122044,0.004099502,0.9489254,0.0440541],"study_design_scores_gemma":[0.000112284,0.0001297819,0.001661417,0.0007998993,0.00003946917,0.003582349,0.0009638073,0.000337133,0.0001549756,0.01504565,0.9771119,0.00006154825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001666078,0.002489686,0.00009220641,0.9834663,0.01216323,0.000003238644,0.00001345723,0.00001320654,0.001591918],"genre_scores_gemma":[0.004541051,0.009181564,0.0004119909,0.8728881,0.1087162,0.00001833624,0.00004675754,0.0000218057,0.004174097],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03807497,"threshold_uncertainty_score":0.05291796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009734784432564482,"score_gpt":0.2278365045217753,"score_spread":0.2181017200892108,"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."}}