{"id":"W1754257618","doi":"10.1177/107327480000700312","title":"Nutritional Factors and Endometrial Cancer in Ontario, Canada","year":2000,"lang":"en","type":"article","venue":"Cancer Control","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Endometrial cancer; Gynecologic cancer; Cancer; Gynecology; Environmental health; Gerontology; Internal medicine; Ovarian cancer","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004474877,0.0002514168,0.0004410856,0.001702164,0.004118082,0.001296839,0.0009320434,0.0005867783,0.003813603],"category_scores_gemma":[0.001724425,0.0004996715,0.0007179542,0.005539939,0.0007554456,0.0003403938,0.0007884612,0.000824525,0.0002404491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04679967,"about_ca_system_score_gemma":0.07441373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989201,"about_ca_topic_score_gemma":0.9995627,"domain_scores_codex":[0.9993472,0.00005566805,0.00005546297,0.00006266237,0.0002090657,0.0002698739],"domain_scores_gemma":[0.9981765,0.0001002986,0.0003112818,0.00003836015,0.0007183347,0.0006552055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002719048,0.00007912412,0.9786324,0.0001961258,0.0001294646,0.0004272743,0.001989453,0.0002695553,0.0002669996,0.0006254183,0.006180744,0.01093157],"study_design_scores_gemma":[0.00005536105,0.00003821291,0.9913985,0.0001375221,0.00006942102,0.0001215964,0.001968332,0.0002112304,0.00005893546,0.00006816907,0.005854692,0.00001801566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573048,0.008975514,0.0002134888,0.005416971,0.0001391254,0.000178527,0.01241556,0.00003866245,0.0153174],"genre_scores_gemma":[0.9827389,0.00563563,0.0003880668,0.000570046,0.00004049825,0.00005293258,0.002011433,0.00001397216,0.00854857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04679967,"threshold_uncertainty_score":0.339557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014779995876212,"score_gpt":0.2558937612491192,"score_spread":0.2411137653729072,"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."}}