{"id":"W3004462773","doi":"10.1002/ijc.32901","title":"Theoretical potential for endometrial cancer prevention through primary risk factor modification: Estimates from the EPIC cohort","year":2020,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Salud Carlos III; World Cancer Research Fund; Medical Research Council; Hellenic Health Foundation; Institut Gustave-Roussy; Medical Research Council Canada; Deutsche Krebshilfe; Mutuelle Générale de l'Education Nationale; Associazione Italiana per la Ricerca sul Cancro; Cancerfonden; Institut National de la Santé et de la Recherche Médicale; Bundesministerium für Bildung und Forschung; Ligue Contre le Cancer; National Institute for Health and Care Research; Vetenskapsrådet; Cancer Research UK; World Health Organization; European Commission; NordForsk; Deutsches Krebsforschungszentrum","keywords":"Endometrial cancer; EPIC; Medicine; Cohort; Risk factor; Cohort study; Primary prevention; Oncology; Lifestyle modification; Internal medicine; Demography; Gynecology; Cancer; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01073499,0.0006696714,0.0007293195,0.000569616,0.000229675,0.0007705946,0.001101776,0.0008215421,0.002779341],"category_scores_gemma":[0.01427618,0.0004623717,0.002653539,0.0005481059,0.000295328,0.0004868175,0.0008868111,0.0007451153,0.0004074267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005609647,"about_ca_system_score_gemma":0.0006639131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036755,"about_ca_topic_score_gemma":0.004985876,"domain_scores_codex":[0.9979424,0.001213119,0.00008056157,0.0003987511,0.0002374761,0.000127776],"domain_scores_gemma":[0.9931114,0.004112135,0.0006523273,0.001492946,0.0004323615,0.0001988773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002087895,0.0001815388,0.7888167,0.0003939677,0.006705145,0.0005828073,0.0002234819,0.1513252,0.0016042,0.006418084,0.002134094,0.03952691],"study_design_scores_gemma":[0.0006624144,0.001582951,0.6465769,0.0002399128,0.00766712,0.00111673,0.0002066127,0.3143276,0.001884825,0.01394029,0.01165506,0.000139592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271518,0.00316205,0.05475922,0.001044331,0.00006996038,0.0002548657,0.008617984,0.0002864977,0.004653321],"genre_scores_gemma":[0.9898382,0.0006104177,0.00631091,0.0001706694,0.00002424867,0.0001377568,0.002029957,0.00001765623,0.0008599821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01073499,"threshold_uncertainty_score":0.05677271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006878494377671,"score_gpt":0.3803546659249352,"score_spread":0.3402858809811585,"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."}}