{"id":"W3196137248","doi":"10.1016/j.pmedr.2021.101520","title":"Use of persuasive strategies in food advertising on television and on social media in Brazil","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of North Carolina Wilmington; International Development Research Centre; Bloomberg Philanthropies; Bloomberg Family Foundation","keywords":"Advertising; Social media; Product (mathematics); Taste; Business; Persuasion; Psychology; Political science; Social psychology; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001226483,0.0001145105,0.0003540467,0.0001570965,0.00009989582,0.00003362877,0.00004377783,0.00009751554,0.00003120585],"category_scores_gemma":[0.01043455,0.0001047784,0.0000484138,0.0004275846,0.0004001483,0.0002349983,0.00003688794,0.0001910794,3.856209e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056925,"about_ca_system_score_gemma":0.0002859837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004511252,"about_ca_topic_score_gemma":0.005266768,"domain_scores_codex":[0.9979708,0.0004789987,0.0004327436,0.0003014492,0.0005848179,0.0002312479],"domain_scores_gemma":[0.9981014,0.001374834,0.0002280724,0.00009154779,0.0001290369,0.0000751443],"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":[0.0003006803,0.0008718022,0.1404781,0.0002107107,0.00007923853,0.00282371,0.3842778,0.00001715859,0.0009844205,0.02554788,0.001012066,0.4433964],"study_design_scores_gemma":[0.0008997155,0.0003812639,0.8256023,0.00308718,0.00002740189,0.00001100952,0.144249,0.000004577756,0.0005525271,0.02204838,0.00285195,0.0002846869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684949,0.0003045452,0.000003857598,0.0009995821,0.0003795669,0.0001729767,0.000002239114,0.00001521439,0.02962715],"genre_scores_gemma":[0.9992896,0.0002410293,0.00002057197,0.00005306576,0.0002007217,0.000007270479,0.000007234309,0.000008987909,0.000171505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6851242,"threshold_uncertainty_score":0.997901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04886870982433766,"score_gpt":0.3459828512473648,"score_spread":0.2971141414230271,"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."}}