{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102707,0.0002727573,0.0002517517,0.002099621,0.001660616,0.001007012,0.0005849015,0.0002899628,0.002563508],"category_scores_gemma":[0.003665523,0.0002378168,0.0004855125,0.005431375,0.0006158635,0.0003615513,0.0008693728,0.0003954289,0.0002475315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01126981,"about_ca_system_score_gemma":0.01090968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804058,"about_ca_topic_score_gemma":0.9895067,"domain_scores_codex":[0.9986923,0.00005097951,0.00006223047,0.0001652918,0.000828518,0.0002006329],"domain_scores_gemma":[0.9973776,0.0001258588,0.0005855074,0.00008034003,0.001619225,0.0002113203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003192062,0.00005056677,0.9723402,0.0001459447,0.0001384813,0.00009267415,0.002347433,0.00006897737,0.001138466,0.0002538244,0.001754823,0.02134955],"study_design_scores_gemma":[0.000002985204,0.0000277319,0.9971473,0.00001726853,0.00002811831,0.00003445841,0.0009582865,0.00006304613,0.0001718842,0.00001226748,0.001529762,0.00000694484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893554,0.0004532887,0.0001221246,0.0001553534,0.000008872054,0.00004077892,0.005018559,0.000007561096,0.004838158],"genre_scores_gemma":[0.9921532,0.0005476431,0.0006081286,0.0001260642,0.000004268144,0.00001884294,0.004667752,0.000007019799,0.001867016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01959419,"threshold_uncertainty_score":0.08176857,"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."}}