{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053472,0.0001314374,0.0003241442,0.000536777,0.00008217548,0.00002145865,0.00003940721,0.00006656743,0.0001652375],"category_scores_gemma":[0.00004982219,0.00009604802,0.000148808,0.001527282,0.00005050832,0.00005889806,0.00003684559,0.00009502965,0.00005835377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004015081,"about_ca_system_score_gemma":0.00002210942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002479652,"about_ca_topic_score_gemma":0.00001145024,"domain_scores_codex":[0.9990817,0.00002343812,0.0001861815,0.0002203696,0.0002557952,0.000232553],"domain_scores_gemma":[0.9994432,0.0001599222,0.00004532771,0.0001410356,0.00004114041,0.0001693398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000741204,0.000181866,0.9581103,0.00006491075,0.0004319767,0.00006839242,0.0001243581,0.000001528864,0.003743298,0.0002232657,0.002875448,0.03343346],"study_design_scores_gemma":[0.009886949,0.0004230377,0.9787374,0.00004642217,0.0002835745,0.000009211676,0.00005779937,0.00004822261,0.002773975,0.0004192635,0.007160807,0.000153405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994994,0.000866658,0.00001027226,0.001575008,0.0005440613,0.000377101,0.00006170457,0.0002110006,0.001360185],"genre_scores_gemma":[0.9972138,0.001253679,0.0001133903,0.0005174681,0.0002159011,0.0001187318,0.00008857315,0.00001631865,0.0004621553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03328006,"threshold_uncertainty_score":0.3916724,"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."}}