{"id":"W3106924983","doi":"10.1177/0022243720981975","title":"Educational Campaigns for Product Labels: Evidence from On-Shelf Nutritional Labeling","year":2020,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Toronto Public Health; Public Health Ontario; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Product (mathematics); Business; Nutrition facts label; Advertising; Food labeling; Nutrition Labeling; Marketing; Grocery store; Food science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008777418,0.0001115939,0.0002943231,0.0001948011,0.0002139063,0.00007630943,0.0002426907,0.00005195469,0.0006593236],"category_scores_gemma":[0.03539905,0.00009324887,0.0001530695,0.0003566058,0.00007367646,0.0001317178,0.00007184467,0.0009319495,0.0000238694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533225,"about_ca_system_score_gemma":0.0009567951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001286591,"about_ca_topic_score_gemma":0.000002529143,"domain_scores_codex":[0.997202,0.0004172676,0.0005220456,0.000277881,0.001205281,0.0003754939],"domain_scores_gemma":[0.9874092,0.009910399,0.0001758425,0.0001613626,0.002020009,0.000323209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.07081044,0.003058302,0.2793482,0.004683331,0.003162785,0.0002647333,0.004582656,0.0002241351,0.3649302,0.0006605231,0.1812188,0.08705592],"study_design_scores_gemma":[0.02927401,0.01591672,0.5792705,0.06765672,0.002292906,0.001000258,0.006637292,0.0125579,0.02624161,0.006311995,0.2507376,0.00210248],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8444907,0.01488685,0.0001435426,0.1392517,0.0002595762,0.0005680805,0.00003673136,0.00001399096,0.0003488393],"genre_scores_gemma":[0.9776252,0.0005796095,0.01754615,0.0006170094,0.003414129,0.00001950281,0.00001296447,0.00002729794,0.0001581281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3386886,"threshold_uncertainty_score":0.9727262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2317345967055879,"score_gpt":0.4397642175844471,"score_spread":0.2080296208788592,"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."}}