{"id":"W3173928524","doi":"10.1096/fasebj.26.1_supplement.369.4","title":"The association between food patterns and adiposity in Canadian children","year":2012,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; McGill University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Waist; Obesity; Overweight; Medicine; Body mass index; Food group; Refined grains; Environmental health; Red meat; Demography; Gerontology; Food science; Biology; Whole grains; Endocrinology","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":[0.0004668805,0.0004365133,0.0004043978,0.001663881,0.001903381,0.0008662174,0.0007341177,0.0004273918,0.002541043],"category_scores_gemma":[0.001383896,0.0004520878,0.0004855234,0.003711466,0.0004254727,0.0002833277,0.0004947782,0.0005196086,0.0002537199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01199593,"about_ca_system_score_gemma":0.007930866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881582,"about_ca_topic_score_gemma":0.9926795,"domain_scores_codex":[0.9994777,0.00002960308,0.00002423779,0.00009690188,0.0001908178,0.0001808293],"domain_scores_gemma":[0.9991991,0.00005463125,0.0002173669,0.00003294524,0.0003206799,0.0001753358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008343166,0.00002229609,0.9937328,0.00002843935,0.0000491961,0.0000988977,0.0007270306,0.00005116731,0.0002495543,0.00007398081,0.0007728543,0.004110472],"study_design_scores_gemma":[0.000003546845,0.000009137289,0.9989762,0.000009901641,0.00001136565,0.00004757522,0.0003146146,0.00004705437,0.00002382444,0.000008640557,0.0005436183,0.000004556334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933569,0.000898421,0.00006775222,0.0001765183,0.000009110082,0.00001926408,0.003726573,0.000007106092,0.001738372],"genre_scores_gemma":[0.9962208,0.0006824059,0.0002144234,0.00005489075,0.000004936484,0.00001703343,0.001797231,0.000005467421,0.001002756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01199593,"threshold_uncertainty_score":0.08703697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473719977902437,"score_gpt":0.2406273771126336,"score_spread":0.2258901773336092,"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."}}