{"id":"W4386509697","doi":"10.1016/j.nutres.2023.09.001","title":"Individual- and supply-level macronutrient intakes are well correlated over a 50-year period (1961–2011) in 18 countries in Asia, North America, and Europe","year":2023,"lang":"en","type":"article","venue":"Nutrition Research","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; Thrombosis and Atherosclerosis Research Institute; Impact; McMaster University; Population Health Research Institute","funders":"","keywords":"Energy supply; Animal science; Nutrient; Developing country; Demography; Statistics; Economics; Energy (signal processing); Mathematics; Biology; Economic growth; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005727179,0.0002594139,0.0003522401,0.001032296,0.0003647229,0.0006919806,0.0002661301,0.0004103107,0.0008056459],"category_scores_gemma":[0.001100264,0.0004288422,0.0004661519,0.002846091,0.0003891953,0.0006528448,0.0006928272,0.0003554567,0.0002052486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004275891,"about_ca_system_score_gemma":0.0003564767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0423056,"about_ca_topic_score_gemma":0.07095675,"domain_scores_codex":[0.9996855,0.00006141861,0.00006033691,0.00008902211,0.00003755232,0.00006619708],"domain_scores_gemma":[0.9987947,0.0001814372,0.0006777697,0.00009879417,0.0001486903,0.00009862774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006884448,0.00000903529,0.9984598,0.00001280214,0.000084535,0.00003101135,0.0001655527,0.00004490241,0.00008568954,0.00001165674,0.00008780397,0.0009382304],"study_design_scores_gemma":[9.582707e-7,0.000009537437,0.9995899,0.000002946799,0.00001327951,0.00002700013,0.0001935696,0.0000220172,0.00001761482,0.000003780375,0.0001178513,0.000001683519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981737,0.0003244066,0.00004090671,0.0000292184,0.000004963456,0.000002003044,0.001098431,0.000003003027,0.0003232793],"genre_scores_gemma":[0.9980174,0.0002412397,0.00008713167,0.00001511941,0.000004711565,0.000003410812,0.001393945,0.000001796424,0.000235116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0423056,"threshold_uncertainty_score":0.08411866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06966009835428558,"score_gpt":0.3429455536680663,"score_spread":0.2732854553137807,"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."}}