{"id":"W2810162242","doi":"10.3390/nu10070832","title":"Examining the Nutritional Quality of Canadian Packaged Foods and Beverages with and without Nutrition Claims","year":2018,"lang":"en","type":"article","venue":"Nutrients","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; National Physical Science Consortium","keywords":"Nutrition Labeling; Nutrition facts label; Calorie; Nutrition information; Food products; Nutrient; Sugar; Food standards; Added sugar; Human nutrition; Health claims on food labels; Environmental health; Medicine; Food science; Biology; Food safety; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002630987,0.00009104991,0.0001830603,0.0001397172,0.0001771627,0.00001982399,0.00003709091,0.00005299129,0.000025717],"category_scores_gemma":[0.00003978957,0.00006210434,0.00001454958,0.0002112879,0.0002635792,0.00005480245,0.00002008181,0.0001108189,0.000001080478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002220195,"about_ca_system_score_gemma":0.00006276702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004974985,"about_ca_topic_score_gemma":0.0118981,"domain_scores_codex":[0.9992548,0.00004237577,0.0001680887,0.0001846786,0.0001881047,0.0001619225],"domain_scores_gemma":[0.9994213,0.00005911021,0.00005955098,0.0001507705,0.0001568141,0.0001524665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004299435,0.0001486365,0.9915724,0.0002554746,0.0001683325,0.000002922837,0.0007878826,2.43338e-8,0.003008698,0.0006909967,0.0001810255,0.002753604],"study_design_scores_gemma":[0.004624919,0.0007502525,0.9873388,0.0005097835,0.0001505525,0.00005563522,0.0005191159,0.00002638825,0.002141175,0.0003163003,0.003450147,0.0001168824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969401,0.001190556,0.0000399909,0.0007909044,0.00003559817,0.0003286265,0.00003293302,0.000011457,0.000629866],"genre_scores_gemma":[0.9982407,0.0002164967,0.001141066,0.0002232223,0.00009207265,0.00001687083,0.00001978562,0.000009770512,0.00004000693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006923114,"threshold_uncertainty_score":0.7520723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0625572766627037,"score_gpt":0.3077749496053589,"score_spread":0.2452176729426552,"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."}}