{"id":"W4368360684","doi":"10.1093/jncimonographs/lgad012","title":"Body composition and endometrial cancer outcomes","year":2023,"lang":"en","type":"article","venue":"JNCI Monographs","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Michener Institute; University of Toronto; Statistics Canada; Western University","funders":"Eisai; London Health Sciences Centre","keywords":"Medicine; Endometrial cancer; Interquartile range; Hazard ratio; Adipose tissue; Body mass index; Internal medicine; Cancer; Retrospective cohort study; Carcinoma; Confidence interval; Gynecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003478024,0.0001723737,0.0001758173,0.0006050417,0.0002133854,0.0003792448,0.0001569448,0.0002312459,0.001781947],"category_scores_gemma":[0.002016834,0.0000948778,0.0002317083,0.0007411308,0.0001958277,0.000199573,0.0003467536,0.0003752704,0.0001859481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207926,"about_ca_system_score_gemma":0.0001837795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906795,"about_ca_topic_score_gemma":0.001871183,"domain_scores_codex":[0.9998312,0.000049157,0.0000195456,0.00003400923,0.00003386818,0.00003225794],"domain_scores_gemma":[0.9988233,0.000190925,0.0006812034,0.00004559611,0.0000889494,0.0001699255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007431924,0.000009823372,0.9977742,0.00001509081,0.00003385657,0.00004290022,0.00001318436,0.0000444897,0.00007932758,0.0000110219,0.00005836939,0.001843439],"study_design_scores_gemma":[0.000003227969,0.00004017492,0.999332,0.00001395912,0.00002342699,0.0002260203,0.00002907722,0.00009169912,0.00003631614,0.00002974702,0.0001727626,0.00000159227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995775,0.002239279,0.00009179598,0.0001760117,0.00001137331,0.00001018728,0.0006756938,0.000005541748,0.001015187],"genre_scores_gemma":[0.9990686,0.0003828575,0.00005233852,0.00002662962,0.00001257362,0.000004683519,0.0003750031,0.000001038439,0.00007635981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001906795,"threshold_uncertainty_score":0.00596118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03703429427525117,"score_gpt":0.3379792328191832,"score_spread":0.3009449385439321,"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."}}