{"id":"W4385850365","doi":"10.1177/10760296231189282","title":"Rivaroxaban Versus Low-Molecular-Weight Heparins in a Broad Cohort of Patients With Cancer-Associated Venous Thromboembolism: An Analysis of the OSCAR-US Program","year":2023,"lang":"en","type":"article","venue":"Clinical and Applied Thrombosis/Hemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital; University of British Columbia","funders":"Bayer","keywords":"Rivaroxaban; Medicine; Cohort; Low molecular weight heparin; Hazard ratio; Cancer; Venous thromboembolism; Internal medicine; Cohort study; Surgery; Heparin; Confidence interval; Thrombosis; Warfarin","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":[0.00424419,0.000535489,0.001115872,0.000577517,0.000313897,0.0009990466,0.0005083139,0.0006417493,0.001034542],"category_scores_gemma":[0.005931792,0.0003899228,0.003899033,0.0008515834,0.0003293552,0.0005618963,0.0006802369,0.001050012,0.0001666982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005476925,"about_ca_system_score_gemma":0.000827747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002793707,"about_ca_topic_score_gemma":0.003472172,"domain_scores_codex":[0.9968875,0.001597412,0.0002589327,0.0005074362,0.0005116481,0.0002370864],"domain_scores_gemma":[0.9960762,0.001394434,0.001382106,0.0004715383,0.0001954939,0.0004802936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03345015,0.0006898746,0.9455886,0.0001595841,0.01098883,0.0002097778,0.0001342679,0.000626612,0.0006400448,0.0001001955,0.0005444445,0.006867563],"study_design_scores_gemma":[0.003422954,0.007005739,0.9816957,0.0000375838,0.003986568,0.0003373463,0.0002149658,0.002248698,0.0001887038,0.0001401429,0.0006926183,0.00002904234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983292,0.000968712,0.0001221038,0.00005039782,0.00001103439,0.00003388115,0.000351827,0.000002609153,0.0001301459],"genre_scores_gemma":[0.9988752,0.0002746612,0.00009346649,0.0000734586,0.00002161171,0.00002689251,0.0005548781,0.000002441385,0.00007735391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00424419,"threshold_uncertainty_score":0.02244568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716922904765548,"score_gpt":0.34076539170679,"score_spread":0.3135961626591346,"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."}}