{"id":"W2789986516","doi":"10.1016/j.amjmed.2018.02.015","title":"Effectiveness and Safety of Rivaroxaban Versus Warfarin in Frail Patients with Venous Thromboembolism","year":2018,"lang":"en","type":"article","venue":"The American Journal of Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Bayer; Portola Pharmaceuticals; Janssen Scientific Affairs; CSL Behring; Daiichi-Sankyo; Pfizer; Boehringer Ingelheim","keywords":"Medicine; Rivaroxaban; Venous thromboembolism; Warfarin; Intensive care medicine; Major bleeding; Internal medicine; Atrial fibrillation; Thrombosis","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":[0.001497544,0.0003040284,0.001428635,0.000273989,0.0003337318,0.0008061754,0.0002309007,0.0005140885,0.00186952],"category_scores_gemma":[0.008387248,0.0001676145,0.001654916,0.0002966724,0.000403061,0.000816801,0.0003390439,0.0009796438,0.0001400727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006764737,"about_ca_system_score_gemma":0.000570154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196938,"about_ca_topic_score_gemma":0.002277512,"domain_scores_codex":[0.9992667,0.0002964416,0.0001256782,0.0001073296,0.0001068405,0.00009702548],"domain_scores_gemma":[0.9967346,0.001868493,0.0006289242,0.0001516085,0.0001146027,0.0005017373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.5584238,0.002770334,0.2727382,0.0009594059,0.007619165,0.000411951,0.0004892891,0.002462252,0.002421435,0.0004909516,0.001459672,0.1497536],"study_design_scores_gemma":[0.05615182,0.1080453,0.8143345,0.0004709716,0.008246882,0.001330386,0.0008147573,0.005772661,0.001084798,0.001535041,0.002095232,0.0001177946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942219,0.004613186,0.00004753643,0.0003031345,0.00005638747,0.00001337211,0.0000918984,0.000002948713,0.000649767],"genre_scores_gemma":[0.998771,0.00070557,0.00006642527,0.0001671625,0.00008275996,0.000008429543,0.0001197382,0.000001144706,0.00007773333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00186952,"threshold_uncertainty_score":0.007919848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027660434613173,"score_gpt":0.2747166657239503,"score_spread":0.2644400613778185,"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."}}