{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005218927,0.0001056557,0.0001790785,0.0001139792,0.00009216499,0.00001367648,0.00001490411,0.00005669051,0.0002098576],"category_scores_gemma":[0.000007498838,0.00008251656,0.00001080211,0.0001037122,0.00008055761,0.00005727775,0.00001751912,0.00009039319,0.000001304146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076039,"about_ca_system_score_gemma":0.00003272032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006754814,"about_ca_topic_score_gemma":0.02130949,"domain_scores_codex":[0.9993946,0.00001074279,0.0001154958,0.0001880625,0.00007576084,0.0002153273],"domain_scores_gemma":[0.9996159,0.00001013243,0.00001879279,0.00004947116,0.00003491465,0.0002707975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009070217,0.0004730106,0.9763541,0.0005441168,0.00008490848,0.0001002518,0.003596719,2.06982e-8,0.0002363058,0.001447111,0.002220514,0.01403591],"study_design_scores_gemma":[0.004145765,0.0008599833,0.954751,0.000177386,0.00001402078,0.00007731163,0.00187732,0.000003339893,0.00002813032,0.003792574,0.03413737,0.0001358474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837834,0.01087917,5.733603e-7,0.002441204,0.00005491414,0.0002871366,0.00009498256,0.0000107423,0.002447829],"genre_scores_gemma":[0.9864531,0.01158073,0.0001029202,0.001483445,0.0001009544,0.0001742146,0.00001516434,0.000008779814,0.00008065384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03191686,"threshold_uncertainty_score":0.9998593,"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."}}