{"id":"W1999375682","doi":"10.1007/s11239-006-9025-4","title":"Paper-based dosing algorithms for maintenance of warfarin anticoagulation","year":2006,"lang":"en","type":"article","venue":"Journal of Thrombosis and Thrombolysis","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; St. Joseph's Hospital; McMaster University; Ontario Clinical Oncology Group; University of Toronto","funders":"","keywords":"Warfarin; Dosing; Medicine; Randomized controlled trial; Target range; Therapeutic index; Algorithm; Intensive care medicine; Internal medicine; Drug; Pharmacology; Atrial fibrillation; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004163662,0.0001187638,0.0006390234,0.0002056982,0.00007267643,0.00002544827,0.00005005757,0.00006346598,0.00004925131],"category_scores_gemma":[0.00007234292,0.00008808514,0.0003643817,0.0002086805,0.00006515221,0.0001874851,0.00001574521,0.0000608438,5.189241e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003458411,"about_ca_system_score_gemma":0.00003520942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003995109,"about_ca_topic_score_gemma":0.000004467901,"domain_scores_codex":[0.9987836,0.00002460408,0.0006582977,0.0001162285,0.0002774966,0.0001397518],"domain_scores_gemma":[0.9988027,0.0001476887,0.0006000243,0.0001205322,0.0002804542,0.00004858917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004716934,0.000211001,0.7372671,0.0006373885,0.001093703,0.000004767052,0.0001634756,0.00238145,0.2321219,0.005710911,0.002982353,0.0169543],"study_design_scores_gemma":[0.003453602,0.0004421775,0.9721295,0.0002485632,0.001254511,0.000006949364,0.0001251127,0.006370666,0.01144167,0.00136718,0.003026855,0.0001331845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666955,0.0003807638,0.02740851,0.004699252,0.0002266439,0.0002679335,0.000006700922,0.00001170905,0.0003029386],"genre_scores_gemma":[0.9786485,0.0001513641,0.02053568,0.0001006728,0.0004588233,5.556129e-7,0.000008459395,0.00001456172,0.00008135832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2348625,"threshold_uncertainty_score":0.3592008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08268830956150067,"score_gpt":0.3548592282032882,"score_spread":0.2721709186417876,"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."}}