{"id":"W3014298099","doi":"10.1002/rth2.12327","title":"Cancer‐associated venous thromboembolism: Treatment and prevention with rivaroxaban","year":2020,"lang":"en","type":"review","venue":"Research and Practice in Thrombosis and Haemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Janssen Pharmaceuticals; National Cancer Institute; Janssen Scientific Affairs; Bayer","keywords":"Rivaroxaban; Medicine; Edoxaban; Apixaban; Intensive care medicine; Randomized controlled trial; Cancer; Dabigatran; Venous thromboembolism; Thrombosis; Internal medicine; 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":[0.001829702,0.0005200903,0.001457458,0.001775869,0.0002153421,0.001181321,0.0005906969,0.0009199971,0.003470999],"category_scores_gemma":[0.003036963,0.0001821186,0.001659219,0.001481475,0.0002162469,0.0007699152,0.0006037224,0.001199219,0.0009401435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006250935,"about_ca_system_score_gemma":0.001483554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252202,"about_ca_topic_score_gemma":0.002439237,"domain_scores_codex":[0.9989069,0.0003373471,0.0003001252,0.0001035423,0.0003038353,0.00004825747],"domain_scores_gemma":[0.9989607,0.0005236795,0.0002537575,0.0000226202,0.0002018764,0.00003728943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004013839,0.00007316266,0.0004641381,0.08445962,0.000619073,0.0001290459,0.00008295049,0.0001718338,0.000629215,0.001521498,0.02095262,0.8904954],"study_design_scores_gemma":[0.0005980072,0.0006789514,0.005515861,0.07845936,0.003004362,0.00224633,0.0001110752,0.0001471364,0.0006430873,0.002136287,0.9064165,0.00004303357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000150137,0.9985138,0.00006630267,0.000454482,0.0001229972,0.00001705374,0.00003508289,0.000003653867,0.0006365493],"genre_scores_gemma":[0.001305536,0.9973501,0.0002575826,0.0005005761,0.0002581142,0.00003438577,0.000083035,0.000001694977,0.0002089838],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003470999,"threshold_uncertainty_score":0.01161158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3226072930758871,"score_gpt":0.5170530548510947,"score_spread":0.1944457617752076,"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."}}