{"id":"W7133031169","doi":"","title":"Nutrition Claims and Symbols on Food Packages: Examination of Current Practices to Monitor and Inform Food Policy","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; University of Toronto; Mitacs; Government of Canada; Heart and Stroke Foundation of Canada","keywords":"Nutrition facts label; Nutrition Labeling; Nutrition information; Health claims on food labels; Product (mathematics); Labelling; Food products; Food supply; Food labelling; Quality (philosophy)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04656362,0.0003383546,0.0004594566,0.006716773,0.002191263,0.006078211,0.002709669,0.001366704,0.00215556],"category_scores_gemma":[0.1143803,0.0008449217,0.0008995913,0.01207281,0.003811576,0.007963773,0.003272304,0.002603955,0.0005493092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.013884,"about_ca_system_score_gemma":0.01482977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07292553,"about_ca_topic_score_gemma":0.07948118,"domain_scores_codex":[0.9650534,0.01028375,0.003737062,0.003034168,0.01696541,0.0009261379],"domain_scores_gemma":[0.806528,0.09362818,0.04507893,0.009676332,0.0423363,0.0027523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003550365,0.0005311831,0.3066579,0.004090669,0.0001831237,0.0002447541,0.07627933,0.0005609861,0.001717907,0.00996905,0.01530313,0.5841069],"study_design_scores_gemma":[0.00003009411,0.0004734186,0.660105,0.006738736,0.0002103819,0.0002651087,0.08229124,0.002302614,0.002403975,0.003586307,0.2414112,0.0001817436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8481376,0.02692648,0.01038559,0.04684968,0.0005772327,0.0007411115,0.003122804,0.0003421467,0.06291743],"genre_scores_gemma":[0.9333804,0.02872149,0.02287277,0.006132637,0.0002586433,0.0005637201,0.002074692,0.000160748,0.005834826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07292553,"threshold_uncertainty_score":0.2462549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06539875698824937,"score_gpt":0.4071468720427366,"score_spread":0.3417481150544873,"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."}}