{"id":"W2071190091","doi":"10.1080/01635581.2011.563026","title":"Food, Beverage, and Macronutrient Intakes in Postmenopausal Caucasian and Chinese-Canadian Women","year":2011,"lang":"en","type":"article","venue":"Nutrition and Cancer","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Medicine; Environmental health; Ethnic group; Postmenopausal women; Risk factor; China; Demography; Cancer; Gerontology; Endocrinology; Internal medicine; Geography","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":[0.0003062594,0.0002581626,0.0002808245,0.0008628914,0.001806106,0.000475171,0.0003433488,0.0002867942,0.00100853],"category_scores_gemma":[0.0007693222,0.0002397413,0.0003053996,0.002045518,0.0003726928,0.0001488112,0.0003392444,0.0002442372,0.0001269769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005153559,"about_ca_system_score_gemma":0.003933894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9581155,"about_ca_topic_score_gemma":0.9778053,"domain_scores_codex":[0.9998206,0.00001164737,0.00001211459,0.00003201575,0.00006275001,0.00006091001],"domain_scores_gemma":[0.9997738,0.00001686379,0.00004193652,0.00001133151,0.00008439009,0.00007169688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004216926,0.00005719403,0.9887523,0.00005490097,0.0001109266,0.0001399608,0.001907091,0.000048687,0.001586301,0.00006562795,0.0004586645,0.006396677],"study_design_scores_gemma":[0.000006615348,0.00002553731,0.9987465,0.000006026158,0.00002146934,0.00005757051,0.0005886296,0.00004463187,0.00008264451,0.000009901252,0.0004057367,0.000004701518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983703,0.0004217049,0.00001884578,0.00004839096,0.000003495865,0.000009481571,0.0005770648,0.000001926489,0.0005488209],"genre_scores_gemma":[0.9979882,0.0004483987,0.0001228277,0.00005916082,0.000003441632,0.00001018723,0.0005941222,0.000002030363,0.0007716363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04188448,"threshold_uncertainty_score":0.08426225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836519150485024,"score_gpt":0.25716751988516,"score_spread":0.2388023283803097,"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."}}