{"id":"W3016565628","doi":"10.1016/j.ypmed.2020.106091","title":"Impact of sugar taxes and front-of-package nutrition labels on purchases of protein, calcium and fibre","year":2020,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Nutrition facts label; Medicine; Purchasing; Sugar; Added sugar; Labelling; Snack food; Food science; Environmental health; Marketing; Business; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00242257,0.0004343221,0.0006036838,0.0005080572,0.00108517,0.002069951,0.0009145466,0.001952995,0.0175181],"category_scores_gemma":[0.0106486,0.0006077926,0.002476115,0.0005983211,0.001208974,0.001340515,0.00134085,0.002573956,0.000934589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003715492,"about_ca_system_score_gemma":0.002875633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06818654,"about_ca_topic_score_gemma":0.09384467,"domain_scores_codex":[0.9982045,0.0007129739,0.00007785419,0.0001793469,0.0002171538,0.0006082434],"domain_scores_gemma":[0.983937,0.01050766,0.001798966,0.0003577254,0.0006923794,0.00270633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2257327,0.119919,0.5558131,0.0004584863,0.001764478,0.001415074,0.001989407,0.008296883,0.004899469,0.003411003,0.004218318,0.07208212],"study_design_scores_gemma":[0.002098919,0.0139306,0.9701321,0.00006622087,0.00125541,0.0001106734,0.003204288,0.004093039,0.001775828,0.000776123,0.002489906,0.0000669307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959204,0.0001468616,0.00001874987,0.0004264396,0.00004696858,0.00001803691,0.000188969,0.000007437046,0.003226088],"genre_scores_gemma":[0.9947771,0.0001329618,0.00007029586,0.00024009,0.00003459425,0.00001325859,0.0001805341,0.00000671168,0.0045445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06818654,"threshold_uncertainty_score":0.1355793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427551008039065,"score_gpt":0.3316552861413417,"score_spread":0.2889001853374352,"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."}}