{"id":"W2887903083","doi":"10.1016/j.thromres.2018.08.008","title":"The prothrombin time does not predict the risk of recurrent venous thromboembolism or major bleeding in rivaroxaban-treated patients","year":2018,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"Janssen Research and Development; Bayer","keywords":"Rivaroxaban; Medicine; Venous thromboembolism; Major bleeding; Prothrombin time; Surgery; Internal medicine; Warfarin; Thrombosis; Atrial fibrillation","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":[0.0005875794,0.000351375,0.0008324395,0.0005195817,0.0003658003,0.001072002,0.0003773529,0.0009424413,0.00196911],"category_scores_gemma":[0.006220166,0.0002882363,0.0008549523,0.0006276204,0.0003252649,0.0007375185,0.0001848988,0.001255489,0.000425899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345644,"about_ca_system_score_gemma":0.0003313788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008520567,"about_ca_topic_score_gemma":0.001123713,"domain_scores_codex":[0.9993501,0.0002066255,0.0001030583,0.0001044073,0.0001491972,0.00008663305],"domain_scores_gemma":[0.9968451,0.001339343,0.0009547327,0.0002195584,0.0001586527,0.0004826396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001163021,0.0001045068,0.9919479,0.00002037033,0.000252186,0.000440395,0.00006421137,0.00009767124,0.0007297773,0.00006563907,0.0003225225,0.004791945],"study_design_scores_gemma":[0.0000800007,0.000629642,0.994437,0.00002337865,0.0003018899,0.002248038,0.0001146915,0.001229189,0.0002255677,0.0002303802,0.0004665387,0.00001367823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961064,0.001324739,0.0001333269,0.0003170235,0.00006880167,0.000004650013,0.0001301424,0.000007095057,0.001907818],"genre_scores_gemma":[0.99923,0.0002081621,0.00006225162,0.00007826606,0.0000868261,0.000001834099,0.0001421658,0.000003394387,0.0001871916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00196911,"threshold_uncertainty_score":0.006587267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729832597901079,"score_gpt":0.3594346349879373,"score_spread":0.3121363090089265,"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."}}