{"id":"W4402631826","doi":"10.1055/a-2418-3960","title":"Risk of Recurrent Venous Thromboembolism in Patients with Cancer: An Individual Patient Data Meta-analysis and Development of a Prediction Model","year":2024,"lang":"en","type":"review","venue":"Thrombosis and Haemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Internal medicine; Rivaroxaban; Edoxaban; Vitamin K antagonist; Deep vein; Logistic regression; Breast cancer; Venous thrombosis; Cancer; Clinical trial; Thrombosis; Low molecular weight heparin; Surgery; 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":[0.03371879,0.002943829,0.01058504,0.004108753,0.0004739347,0.002654516,0.002544281,0.001954516,0.002221991],"category_scores_gemma":[0.03663968,0.001617807,0.05009409,0.004189612,0.0004480362,0.001486978,0.001586671,0.002910163,0.0003750399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023841,"about_ca_system_score_gemma":0.001326085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005758406,"about_ca_topic_score_gemma":0.005660515,"domain_scores_codex":[0.9789803,0.01648363,0.001539235,0.001928762,0.000812243,0.0002558907],"domain_scores_gemma":[0.9673417,0.02747423,0.001994431,0.001976779,0.0009034293,0.0003095038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.005673403,0.0000444921,0.01863654,0.01145953,0.9471819,0.0001489972,0.00004139612,0.008861164,0.000263165,0.0002383216,0.000767637,0.006683394],"study_design_scores_gemma":[0.001249407,0.0003208258,0.006042044,0.0007393472,0.9778507,0.0001204485,0.0000205005,0.01146847,0.0001735007,0.0009719667,0.001006586,0.00003613499],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.192326,0.746392,0.04293055,0.003479219,0.001221949,0.0008819341,0.01000258,0.0007405215,0.002025314],"genre_scores_gemma":[0.9260331,0.05046953,0.01480445,0.001478891,0.0004096317,0.001190193,0.004579118,0.0001794931,0.0008554833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03371879,"threshold_uncertainty_score":0.1783242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2091597465812853,"score_gpt":0.3868069866986005,"score_spread":0.1776472401173152,"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."}}