{"id":"W4399993570","doi":"10.2196/preprints.63410","title":"Extent and Nature of Television Food and Nonalcoholic Beverage Marketing in 9 Asian Countries: Cross-Sectional Study Using a Harmonized Approach (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Preprint; Advertising; Business; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001949218,0.0002065977,0.0003147559,0.0009676698,0.000434965,0.0006689171,0.0003781581,0.0004211252,0.001734162],"category_scores_gemma":[0.002156099,0.0004609971,0.0009196308,0.002170074,0.0003561528,0.0007671297,0.0007784312,0.0003630581,0.0004975942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034387,"about_ca_system_score_gemma":0.0004510149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006635516,"about_ca_topic_score_gemma":0.006572897,"domain_scores_codex":[0.9988896,0.0004881222,0.0002438588,0.0001656415,0.0001382734,0.00007447743],"domain_scores_gemma":[0.997535,0.0006117575,0.001093479,0.0002185763,0.0004166539,0.0001245066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005878327,0.0000530977,0.9977912,0.00003797672,0.00009328014,0.00002411279,0.0006530071,0.00003030822,0.00008639296,0.00001859982,0.0001737045,0.0009795638],"study_design_scores_gemma":[0.000004871526,0.0001247315,0.9974323,0.00001433526,0.00004029709,0.00005929252,0.001924936,0.0000917193,0.00006289238,0.000006057938,0.000234755,0.000003894579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978107,0.0001008158,0.000124707,0.00002844823,0.00000463266,0.00007325243,0.001336716,0.000002986116,0.0005178011],"genre_scores_gemma":[0.997498,0.0001373329,0.0005265706,0.00006227739,0.000007778687,0.0001941214,0.001319737,0.00000398907,0.0002502468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006635516,"threshold_uncertainty_score":0.01319379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03357297850227963,"score_gpt":0.3345679677297548,"score_spread":0.3009949892274752,"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."}}