{"id":"W1835062655","doi":"10.1093/ajcn/83.5.1217s","title":"Use of population-weighted Estimated Average Requirements as a basis for Daily Values on food labels","year":2006,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nutrition facts label; Population; Misinformation; Food labeling; Nutrition Labeling; Value (mathematics); Nutrient; Environmental health; Reference values; Statistics; Medicine; Computer science; Food science; Mathematics; Biology; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005911681,0.0001287605,0.000760831,0.0001768214,0.00005148874,0.00002019722,0.00007223645,0.00006735963,0.00003226051],"category_scores_gemma":[0.001123373,0.000107365,0.0003743117,0.0002510214,0.0001078723,0.0001606837,0.00001206599,0.0002121275,0.000002536594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004441781,"about_ca_system_score_gemma":0.00006157396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001546345,"about_ca_topic_score_gemma":0.00000935674,"domain_scores_codex":[0.9975699,0.0001202079,0.001576391,0.0001720636,0.0003942174,0.0001672808],"domain_scores_gemma":[0.9967717,0.001152535,0.001186695,0.0001715294,0.000580504,0.000137046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03726494,0.02453998,0.5376596,0.0008827635,0.00431236,0.0001365183,0.0001634497,0.0005047736,0.01310651,0.002309692,0.005158942,0.3739605],"study_design_scores_gemma":[0.03401564,0.1007891,0.8154424,0.009943836,0.004353015,0.0002640135,0.0001703168,0.007483735,0.007006183,0.01272803,0.00702773,0.0007759724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968231,0.0002702922,0.001071641,0.001229606,0.0001743793,0.0003342812,0.00004112542,0.00001632913,0.00003928554],"genre_scores_gemma":[0.9681328,0.0002124115,0.03080764,0.0004399282,0.0003033742,0.000006338233,0.00005748748,0.00002114646,0.00001886664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3731845,"threshold_uncertainty_score":0.4378219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1186249372208289,"score_gpt":0.4146986067532983,"score_spread":0.2960736695324694,"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."}}