{"id":"W2115831525","doi":"10.1158/1055-9965.epi-11-0715","title":"Case–Control Study of the Metabolic Syndrome and Metabolic Risk Factors for Endometrial Cancer","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; Alberta Health Services","funders":"Canadian Institutes of Health Research","keywords":"Metabolic syndrome; Endometrial cancer; Medicine; Dyslipidemia; Internal medicine; Waist; Endocrinology; Body mass index; Population; Diabetes mellitus; Cancer; Gastroenterology","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":[0.001482261,0.0003628617,0.0005259133,0.001183793,0.0009819377,0.0006118466,0.0007762663,0.0005405425,0.001639203],"category_scores_gemma":[0.004045748,0.000445089,0.000483607,0.002246402,0.0006176341,0.0001686376,0.0003302755,0.0005002908,0.0001373099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002559939,"about_ca_system_score_gemma":0.002187955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3525087,"about_ca_topic_score_gemma":0.2889667,"domain_scores_codex":[0.9984558,0.0004487644,0.0001121992,0.0003695142,0.0004155053,0.0001982455],"domain_scores_gemma":[0.9979964,0.0003557611,0.0005617851,0.0002741757,0.0005494557,0.0002624167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002722967,0.00004770985,0.997262,0.00002413526,0.0002598994,0.0002325788,0.00007960059,0.00003525941,0.0002345172,0.00005935203,0.0002410318,0.001251626],"study_design_scores_gemma":[0.00005064539,0.00008638734,0.9984925,0.00001169334,0.0001371682,0.000440035,0.00006812243,0.0001426359,0.00004164229,0.00002761819,0.0004975104,0.000004025267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946882,0.00206828,0.0007729591,0.0001076341,0.00002879228,0.0001827434,0.0009939441,0.0000147012,0.001142861],"genre_scores_gemma":[0.9975197,0.0004387125,0.000513565,0.00006880446,0.00001863964,0.00007561925,0.0007968349,0.00000247846,0.0005655058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3525087,"threshold_uncertainty_score":0.7009137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103415204273268,"score_gpt":0.3681750325923656,"score_spread":0.2647598283190976,"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."}}