{"id":"W4310939526","doi":"10.1158/1055-9965.epi-22-0906","title":"Prospective Cohort of Pre- and Post-Diagnosis Diet with Survival Outcomes: an Alberta Endometrial Cancer Cohort Study","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; Alberta Cancer Foundation; Alberta Health Services","funders":"National Cancer Institute; Canadian Institutes of Health Research; Alberta Innovates; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; Canada Research Chairs; Alberta Cancer Board","keywords":"Medicine; Internal medicine; Proportional hazards model; Glycemic load; Cohort; Endometrial cancer; Prospective cohort study; Cohort study; Obesity; Glycemic index; Cancer; Confidence interval; Glycemic; Insulin","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007672975,0.0003878603,0.0003496255,0.0006678266,0.001316646,0.0007625605,0.0007994248,0.0004432694,0.001241767],"category_scores_gemma":[0.001050067,0.0003693625,0.0004516648,0.002005439,0.0003414884,0.0002224204,0.0006570579,0.0006078172,0.0002754248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00437553,"about_ca_system_score_gemma":0.004633468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8876125,"about_ca_topic_score_gemma":0.9046359,"domain_scores_codex":[0.9995722,0.00004878201,0.00002120048,0.00009789979,0.0001425629,0.0001173317],"domain_scores_gemma":[0.9992126,0.00003762085,0.0001462526,0.0001144486,0.0002721537,0.000216828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002157267,0.00003519749,0.9967836,0.00001115267,0.00007050392,0.00009820047,0.0002026871,0.00006105785,0.0002524621,0.00003460319,0.0006628225,0.001571992],"study_design_scores_gemma":[0.00002135985,0.00003040326,0.9990832,0.000008575493,0.00003779447,0.00006186343,0.0001559789,0.000125005,0.00002112092,0.00001755084,0.0004331057,0.000004090298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938747,0.0005178538,0.0001507715,0.0001299222,0.00001305322,0.00005686365,0.0044056,0.0000108368,0.0008403153],"genre_scores_gemma":[0.9949251,0.0003515367,0.0003090079,0.000110611,0.00000856588,0.00003958202,0.003061246,0.000004986941,0.001189378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1123875,"threshold_uncertainty_score":0.2260988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0401993832310733,"score_gpt":0.376755215840552,"score_spread":0.3365558326094787,"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."}}