{"id":"W1995686154","doi":"10.1097/cej.0b013e328344747c","title":"Endometrial cancer and meat consumption","year":2011,"lang":"en","type":"article","venue":"European Journal of Cancer Prevention","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; University of Victoria; University of Toronto","funders":"Canadian Institutes of Health Research; National Cancer Institute; Cancer Care Ontario","keywords":"Medicine; Red meat; Prospective cohort study; Hazard ratio; Endometrial cancer; Cohort; Cohort study; Confidence interval; Cancer; Incidence (geometry); Internal medicine; Gynecology; Pathology","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":[0.0004175908,0.0001932933,0.0001803472,0.0006094258,0.000348616,0.0004393231,0.0002926091,0.0002897329,0.002401412],"category_scores_gemma":[0.001950774,0.0001778962,0.0004132539,0.001181378,0.0002686951,0.0001934838,0.0002905487,0.0003025647,0.0001755985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009298725,"about_ca_system_score_gemma":0.0008991396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1479799,"about_ca_topic_score_gemma":0.1682229,"domain_scores_codex":[0.9996941,0.00006052554,0.00001774369,0.00005330775,0.0001064158,0.00006795639],"domain_scores_gemma":[0.9992242,0.0001295705,0.0003166757,0.00005703972,0.0001343726,0.0001381178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003354228,0.00001913164,0.9893224,0.0000915011,0.000194316,0.0001733105,0.0001088561,0.00004947387,0.0005554892,0.00006787779,0.0003645894,0.008717654],"study_design_scores_gemma":[0.00000256311,0.00002121723,0.9989566,0.00001364395,0.00003703633,0.0001708766,0.00003398263,0.00002536194,0.00003566763,0.00002670847,0.0006747275,0.0000016749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746168,0.01709146,0.0001863267,0.0005042251,0.00003389911,0.00002267319,0.001651511,0.00001463607,0.005878369],"genre_scores_gemma":[0.9930336,0.004305645,0.0002103114,0.000104615,0.00002544631,0.000008347833,0.0006854581,0.00000409628,0.001622335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1479799,"threshold_uncertainty_score":0.294237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08949376859653473,"score_gpt":0.3411147448070978,"score_spread":0.2516209762105631,"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."}}