{"id":"W4404586074","doi":"10.1080/16549716.2024.2427445","title":"Children’s exposure to unhealthy food advertising on Philippine television: content analysis of marketing strategies and temporal patterns","year":2024,"lang":"en","type":"article","venue":"Global Health Action","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Advertising; Television advertising; Food marketing; Content analysis; Unhealthy food; Geography; Environmental health; Marketing; Political science; Business; Medicine; Sociology; Social science; Obesity","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":[],"consensus_categories":[],"category_scores_codex":[0.0006158229,0.0001441565,0.0004084557,0.0002372273,0.0001009502,0.0000528398,0.00003336987,0.00006047227,0.00003896853],"category_scores_gemma":[0.00005123715,0.0001239362,0.0001020936,0.0006753178,0.00001540237,0.0001097028,0.00002715342,0.0001590961,0.000002256017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003168684,"about_ca_system_score_gemma":0.0002331395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312047,"about_ca_topic_score_gemma":0.001365538,"domain_scores_codex":[0.9985473,0.00009542632,0.000467539,0.0003487084,0.000276284,0.0002647417],"domain_scores_gemma":[0.9993338,0.00006566211,0.00009955971,0.0001728639,0.00007115658,0.0002569667],"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":[0.001074025,0.0001133474,0.32022,0.00150567,0.001284181,0.000007010085,0.0002411333,0.0001290678,0.0001333751,0.0002093046,0.00007731948,0.6750056],"study_design_scores_gemma":[0.0004353944,0.002079551,0.9939345,0.001186932,0.0005449088,0.00003344345,0.0005652837,0.0008429067,0.00001677944,0.00001079001,0.0002568631,0.00009265722],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836,0.01061854,0.00111801,0.003641447,0.0003130663,0.0004419063,0.0001185014,0.0000848127,0.00006369963],"genre_scores_gemma":[0.9982485,0.0005156926,0.0002632361,0.0007137493,0.0001561262,0.000007482185,0.0000772701,0.000009470556,0.000008485516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6749129,"threshold_uncertainty_score":0.505397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04995526960659097,"score_gpt":0.3655703526670616,"score_spread":0.3156150830604706,"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."}}