{"id":"W4383746077","doi":"10.1055/s-0043-1770783","title":"Rivaroxaban versus Apixaban for Treatment of Cancer-Associated Venous Thromboembolism in Patients at Lower Risk of Bleeding","year":2023,"lang":"en","type":"article","venue":"TH Open","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ottawa Hospital; University of Ottawa","funders":"Bayer","keywords":"Medicine; Apixaban; Rivaroxaban; Hazard ratio; Bleed; Internal medicine; Proportional hazards model; Retrospective cohort study; Surgery; Confidence interval; 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":[0.002120805,0.0001204028,0.0006682338,0.000487732,0.0002478593,0.0007280736,0.0002026358,0.0003822533,0.0009951452],"category_scores_gemma":[0.008241136,0.0001769681,0.001192287,0.00111258,0.0001742203,0.0005988323,0.0002419261,0.0006483386,0.0001528905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004069339,"about_ca_system_score_gemma":0.0005268084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039804,"about_ca_topic_score_gemma":0.001672175,"domain_scores_codex":[0.9975376,0.001058208,0.0004656712,0.0004364579,0.0003269268,0.0001751982],"domain_scores_gemma":[0.9953496,0.001078401,0.002825709,0.0002409946,0.0002705269,0.0002348012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01011281,0.0002919999,0.9626768,0.0002657749,0.001615786,0.0002369634,0.0001708956,0.0003468815,0.0007416597,0.0003434473,0.0006839449,0.02251301],"study_design_scores_gemma":[0.001915878,0.00676892,0.9802137,0.0001656424,0.001517331,0.002113927,0.0003431725,0.001580457,0.0005107611,0.0005769281,0.004257474,0.00003583638],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926562,0.004759926,0.0004419679,0.0002193839,0.00004539971,0.00004710425,0.0006030403,0.000005781175,0.001221252],"genre_scores_gemma":[0.9984193,0.000674311,0.0002208984,0.0002061643,0.00006829879,0.00002857312,0.0003091818,0.000002639352,0.00007061173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002120805,"threshold_uncertainty_score":0.01121604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05011661609791992,"score_gpt":0.3530481692333361,"score_spread":0.3029315531354162,"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."}}