{"id":"W4224241165","doi":"10.1158/1055-9965.epi-22-0160","title":"Metabolically Defined Body Size Phenotypes and Risk of Endometrial Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"School of Public Health, Imperial College London; Health and Medical Research Fund; Instituto de Salud Carlos III; World Cancer Research Fund; Medical Research Council; Institut Gustave-Roussy; Deutsche Krebshilfe; Institut National de la Santé et de la Recherche Médicale; Imperial College London; Associazione Italiana per la Ricerca sul Cancro; Cancerfonden; Bundesministerium für Bildung und Forschung; Ligue Contre le Cancer; National Institute for Health and Care Research; Vetenskapsrådet; Cancer Research UK; Deutsches Krebsforschungszentrum; World Health Organization","keywords":"Endometrial cancer; Cancer; Anthropometry; Prospective cohort study; Phenotype; Risk factor","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":[0.001186095,0.0003732697,0.0003980265,0.0004882693,0.0003550964,0.0005027336,0.0003249528,0.0004947839,0.0006631144],"category_scores_gemma":[0.001912019,0.0003581631,0.0005491964,0.0007287244,0.0002506131,0.0001947381,0.0005706596,0.0004932398,0.0001000112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470057,"about_ca_system_score_gemma":0.0001700103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003333122,"about_ca_topic_score_gemma":0.003669194,"domain_scores_codex":[0.9993811,0.0003038155,0.0000527618,0.000143691,0.00006599208,0.00005268125],"domain_scores_gemma":[0.9989368,0.0001829158,0.000412279,0.0002190032,0.00009580467,0.0001530728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003480475,0.0000232485,0.9982663,0.000009563975,0.0001748663,0.00004810135,0.00003524154,0.00003590466,0.0004425748,0.00002155222,0.00007087345,0.0005238075],"study_design_scores_gemma":[0.00001669078,0.00005429805,0.999446,0.000003369676,0.00006445502,0.0001308891,0.00002234114,0.0001062695,0.0000416815,0.00001698239,0.00009513342,0.000001881229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988276,0.0003304401,0.0001868844,0.00002995182,0.000006709607,0.0000109341,0.0003887224,0.000003056601,0.0002157354],"genre_scores_gemma":[0.9988219,0.0001230354,0.000234202,0.00003866145,0.000008881091,0.00001887968,0.0006146316,0.000002310672,0.0001373963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003333122,"threshold_uncertainty_score":0.00662744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246515205876427,"score_gpt":0.3352828967716555,"score_spread":0.3028177447128912,"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."}}