{"id":"W4290839522","doi":"10.1007/s00394-022-02978-w","title":"Cross-sectional comparisons of dietary indexes underlying nutrition labels: nutri-score, Canadian ‘high in’ labels and Diabetes Canada Clinical Practices (DCCP)","year":2022,"lang":"en","type":"article","venue":"European Journal of Nutrition","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Wilson Centre; University of Toronto","funders":"Sanofi Pasteur","keywords":"Medicine; Diabetes mellitus; Cross-sectional study; Nutrition facts label; Environmental health; Gerontology; Endocrinology","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":[0.00180254,0.0001437859,0.0004389858,0.0003809266,0.0002543355,0.00005052378,0.0001451294,0.00003764429,0.0001463868],"category_scores_gemma":[0.0003224801,0.0001502497,0.00009831415,0.0003234973,0.0001008544,0.0002376769,0.00006516137,0.0008904104,8.035967e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989685,"about_ca_system_score_gemma":0.0006345042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1307755,"about_ca_topic_score_gemma":0.2593294,"domain_scores_codex":[0.9973458,0.0005908959,0.0011052,0.0002150695,0.000478357,0.0002646564],"domain_scores_gemma":[0.9979423,0.0003899458,0.000945892,0.0001306927,0.0003008405,0.0002903016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003782757,0.001089857,0.9926503,0.0003872443,0.000249807,0.0004094764,0.00005294414,0.00005408622,0.001393647,0.00003560388,0.001251559,0.002047146],"study_design_scores_gemma":[0.004851522,0.001247979,0.975781,0.0005246631,0.0001600703,0.0002899615,0.0002925575,0.0001270048,0.00006826093,0.00006375287,0.01645141,0.000141767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881728,0.009135174,0.000007905694,0.001616753,0.0005058132,0.0002511011,0.0001396897,0.000006914146,0.0001638596],"genre_scores_gemma":[0.9974036,0.0008932889,0.0009745006,0.0003400677,0.000266239,0.000006098572,0.00007466254,0.00002527386,0.00001628897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1285539,"threshold_uncertainty_score":0.8750128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258538956540765,"score_gpt":0.3563998545158921,"score_spread":0.2305459588618156,"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."}}