{"id":"W4206712411","doi":"10.1139/apnm-2021-0415","title":"Development of the Healthy Eating Food Index (HEFI)-2019 measuring adherence to Canada’s Food Guide 2019 recommendations on healthy food choices","year":2022,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Disability Prevention and Rehabilitation; University of Toronto; University of Saskatchewan; Alberta Health Services; University of Guelph; Statistics Canada; University of Calgary; University of Waterloo; Memorial University of Newfoundland; University of British Columbia; Health Canada; University of Manitoba; Alberta Cancer Foundation; Université Laval","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research; Health Canada; National Institutes of Health; Instituto Danone; Canadian Foundation for Dietetic Research; Social Sciences and Humanities Research Council of Canada; Université Laval; Danone","keywords":"Food guide; Serving size; Environmental health; Refined grains; Healthy eating; Food choice; Index (typography); Food group; Population; Food composition data; Medicine; Food science; Whole grains; Physical activity; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.009075169,0.0005869063,0.0006926338,0.003885513,0.002674856,0.001915054,0.002092108,0.0005519192,0.003569513],"category_scores_gemma":[0.01571949,0.0003862979,0.001293457,0.006023396,0.0005563542,0.0008312541,0.001840635,0.002320401,0.0008487432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02741156,"about_ca_system_score_gemma":0.0910667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9617767,"about_ca_topic_score_gemma":0.9719463,"domain_scores_codex":[0.9917185,0.0006370274,0.0005924987,0.0004413431,0.005854549,0.0007559262],"domain_scores_gemma":[0.9793807,0.0006236546,0.0008541885,0.0003994037,0.01760461,0.001137597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004274209,0.0004349504,0.4679392,0.001112656,0.0003634486,0.0001135574,0.001801228,0.002021786,0.0006299263,0.0103856,0.1824968,0.3322735],"study_design_scores_gemma":[0.0000771644,0.0001886272,0.8697062,0.0007366795,0.0001254961,0.00006848976,0.001112392,0.002817756,0.0008541374,0.001078344,0.1231033,0.0001314979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3782841,0.007745665,0.05459313,0.01359049,0.001783433,0.01758015,0.3239467,0.001763993,0.2007123],"genre_scores_gemma":[0.5959215,0.005894341,0.1794183,0.00325387,0.0002391653,0.009328404,0.177755,0.0003507655,0.02783877],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03822327,"threshold_uncertainty_score":0.1988857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04069396620912299,"score_gpt":0.2839778158684093,"score_spread":0.2432838496592863,"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."}}