{"id":"W2586002753","doi":"10.2147/orr.s105227","title":"Rivaroxaban for venous thromboembolism prevention after major orthopedic surgery: translating trial data into routine clinical practice","year":2017,"lang":"en","type":"review","venue":"Orthopedic Research and Reviews","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"Janssen Pharmaceuticals; Bayer HealthCare; Janssen Research and Development; Janssen Scientific Affairs","keywords":"Rivaroxaban; Medicine; Orthopedic surgery; Vitamin K antagonist; Clinical trial; Intensive care medicine; Venous thromboembolism; Tranexamic acid; Anticoagulant; Randomized controlled trial; Surgery; Warfarin; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04050308,0.0009649637,0.009879624,0.000695705,0.001045504,0.0004721038,0.001154099,0.0009148648,0.0001711248],"category_scores_gemma":[0.02320505,0.0006605336,0.00187417,0.0005737963,0.0006937449,0.0007688064,0.001298861,0.002318596,0.0001962691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366829,"about_ca_system_score_gemma":0.002378087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001935138,"about_ca_topic_score_gemma":0.0002065104,"domain_scores_codex":[0.9864935,0.003708763,0.004381599,0.002456816,0.001565871,0.001393481],"domain_scores_gemma":[0.9881565,0.003466913,0.002154187,0.004533736,0.0007279379,0.0009607118],"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":[0.001499134,0.002171966,0.00003661692,0.05978113,0.001043459,0.0001655848,0.0001100789,2.461241e-9,2.555204e-8,0.00007327209,0.04671876,0.8884],"study_design_scores_gemma":[0.007093946,0.002605833,0.00008222058,0.04467937,0.007135724,0.00008891591,0.00004705033,0.000006468209,1.254566e-8,0.0001128608,0.9375899,0.0005576264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005636965,0.9719012,0.0002049632,0.001343575,0.001474663,0.02299494,0.0001289699,0.00006278761,0.001832523],"genre_scores_gemma":[0.00002140944,0.9794914,0.003199599,0.0003001156,0.006604015,0.004840367,0.002677597,0.000220271,0.002645212],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8908712,"threshold_uncertainty_score":0.9999831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6831516630773011,"score_gpt":0.6273751591467011,"score_spread":0.05577650393060007,"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."}}