{"id":"W2917848945","doi":"10.3390/nu11030526","title":"Differences in the Quantity and Types of Foods and Beverages Consumed by Canadians between 2004 and 2015","year":2019,"lang":"en","type":"article","venue":"Nutrients","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Food science; Dairy foods; Refined grains; Whole grains; Food group; Sugar; Food guide; Population; Environmental health; Orange juice; Added sugar; Medicine; Biology","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":[0.0009926178,0.0004373103,0.0004590822,0.003492761,0.001999205,0.001170423,0.001138451,0.0004224853,0.001794606],"category_scores_gemma":[0.003137251,0.0003650539,0.001124802,0.009392208,0.0004189572,0.0004648221,0.0008571164,0.0004391061,0.0001965762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02346185,"about_ca_system_score_gemma":0.01933062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953175,"about_ca_topic_score_gemma":0.9966273,"domain_scores_codex":[0.9984608,0.00007611159,0.0001264441,0.0002343445,0.0007891573,0.0003131865],"domain_scores_gemma":[0.9978883,0.00007502022,0.0004481604,0.00004871599,0.001283494,0.0002563709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002378517,0.00002837755,0.9689868,0.0004370042,0.0005590275,0.0000736224,0.001740647,0.0002300822,0.0004039512,0.0003753856,0.008409518,0.0185177],"study_design_scores_gemma":[0.000003779036,0.000009474023,0.9953119,0.00004541026,0.00004147525,0.00002549049,0.0004987819,0.00007360009,0.00005811196,0.00001570193,0.003902979,0.00001330774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8882773,0.008393109,0.0005207567,0.001369807,0.0001079829,0.0001185047,0.0885242,0.00008016837,0.01260823],"genre_scores_gemma":[0.9659647,0.003077742,0.0009035594,0.0004665817,0.00002177452,0.00006454736,0.02705797,0.00001821515,0.002424894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02346185,"threshold_uncertainty_score":0.1702284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956166621077745,"score_gpt":0.2693655284122617,"score_spread":0.2498038622014842,"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."}}