{"id":"W2885394836","doi":"10.1055/s-0038-1667001","title":"Clinical Impact of Bleeding in Cancer-Associated Venous Thromboembolism: Results from the Hokusai VTE Cancer Study","year":2018,"lang":"en","type":"article","venue":"Thrombosis and Haemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute; Ottawa Hospital","funders":"Janssen Pharmaceuticals; Swedish Orphan Biovitrum; LEO Pharma; Daiichi Sankyo Europe; Sanofi; Bayer HealthCare; Incyte; Ionis Pharmaceuticals; Bayer; Daiichi-Sankyo; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Edoxaban; Medicine; Venous thromboembolism; Cancer; Major bleeding; Internal medicine; Surgery; Thrombosis; Rivaroxaban; Warfarin; 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":[0.005349506,0.0004301629,0.0008984794,0.0006978987,0.0002697794,0.001065025,0.0004750137,0.0007308481,0.0007384726],"category_scores_gemma":[0.006203864,0.0003171249,0.001357964,0.001858534,0.0004106197,0.0004047847,0.00060702,0.0007623371,0.000139338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006263395,"about_ca_system_score_gemma":0.0006167241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004467451,"about_ca_topic_score_gemma":0.006293512,"domain_scores_codex":[0.9974917,0.001409019,0.0003132077,0.0002284989,0.0004212042,0.0001363703],"domain_scores_gemma":[0.9946412,0.001469866,0.001889643,0.0004812144,0.0005360098,0.000981946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02180983,0.0002675619,0.9651588,0.0003371437,0.003135155,0.0001104388,0.0001168996,0.0003657724,0.0003416443,0.00008853051,0.0009802646,0.007287984],"study_design_scores_gemma":[0.002769668,0.001278308,0.9930034,0.00005032132,0.001538956,0.0001201013,0.00007077453,0.0002346511,0.00008173833,0.00006196811,0.0007670291,0.00002290016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897662,0.006377612,0.0001110081,0.0002448732,0.00003150413,0.00008830538,0.002585214,0.00000387969,0.0007914647],"genre_scores_gemma":[0.9937019,0.00180394,0.0001193431,0.0002028091,0.00006471397,0.00005367105,0.003857255,0.000004469072,0.0001918536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005349506,"threshold_uncertainty_score":0.02829123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1399887350301724,"score_gpt":0.4482977338186583,"score_spread":0.3083089987884859,"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."}}