{"id":"W2603830880","doi":"10.1200/jco.2009.27.15_suppl.9565","title":"Predictors of recurrent thrombosis and anticoagulant-related bleeding in patients with cancer","year":2009,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Clinical Oncology Group","funders":"","keywords":"Medicine; Thrombosis; Pulmonary embolism; Internal medicine; Surgery; Cancer; Hazard ratio; Deep vein; Low molecular weight heparin; Vitamin K antagonist; Body mass index; Anticoagulant; Proportional hazards model; Warfarin; Confidence interval; 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":[0.0007941792,0.0001698021,0.0004794062,0.0006229752,0.000247843,0.0005619561,0.0002763112,0.0003833026,0.001617859],"category_scores_gemma":[0.00479483,0.0001946718,0.0007515043,0.001312763,0.0001598026,0.0002737927,0.000247954,0.0006625967,0.0001670357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319214,"about_ca_system_score_gemma":0.0005042186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003459032,"about_ca_topic_score_gemma":0.003819747,"domain_scores_codex":[0.999586,0.0001134329,0.00006361424,0.0000620873,0.000110471,0.00006437558],"domain_scores_gemma":[0.9975412,0.0008838124,0.0009821941,0.00009161732,0.0001691672,0.0003319823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003114613,0.00003344421,0.9976108,0.0000146301,0.00006557676,0.00004995477,0.0000145357,0.0001178831,0.0000409367,0.000007409537,0.0001411673,0.001592214],"study_design_scores_gemma":[0.00008857405,0.0004802282,0.997381,0.00001782952,0.0002014484,0.000442391,0.00004384516,0.0008548535,0.00005601088,0.00004870349,0.0003788211,0.000006237221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980673,0.0009857928,0.0001044586,0.00008851741,0.00001169197,0.0000140674,0.0003823908,0.000006073797,0.0003397079],"genre_scores_gemma":[0.9990026,0.0002534646,0.00007269145,0.0000360631,0.00001978124,0.00001873436,0.0005162543,0.000001579436,0.0000787907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003459032,"threshold_uncertainty_score":0.00687778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07319900428181632,"score_gpt":0.4255467211793356,"score_spread":0.3523477168975193,"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."}}