{"id":"W4411142690","doi":"10.1371/journal.pone.0325730","title":"What, when, and how food and beverage are advertised on Ghanian television","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of the Vice President for Research, University of South Carolina; International Development Research Centre","keywords":"Overweight; Advertising; Food marketing; Unhealthy food; Evening; Snacking; Underweight; Framing (construction); Obesity; Added sugar; Medicine; Psychology; Environmental health; Business; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002705916,0.0001365615,0.0001119341,0.001238977,0.0004058283,0.0009504121,0.0001233013,0.0002012809,0.004225887],"category_scores_gemma":[0.001635137,0.0001226202,0.0001089844,0.0019414,0.0004068476,0.0007770635,0.000195787,0.0001998472,0.0006711691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006269666,"about_ca_system_score_gemma":0.0002734838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009757542,"about_ca_topic_score_gemma":0.01346795,"domain_scores_codex":[0.9997115,0.0001030728,0.0000198263,0.00003541596,0.00008078709,0.00004941186],"domain_scores_gemma":[0.9990684,0.0003275469,0.0003625845,0.00004147787,0.0001463118,0.00005373951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004669514,0.00009609887,0.6751697,0.0009255625,0.00006811805,0.00130683,0.02982099,0.0002999589,0.0161216,0.002408172,0.009837492,0.2634785],"study_design_scores_gemma":[0.000004787645,0.00004569878,0.9641212,0.0001952156,0.00003527747,0.0005832203,0.01076875,0.0001968734,0.001069205,0.0002608611,0.02270528,0.00001357402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681069,0.002120895,0.0004383956,0.0009322533,0.00004994005,0.00004010734,0.002594082,0.00003363927,0.02568378],"genre_scores_gemma":[0.9906645,0.003128274,0.0007268905,0.0001538406,0.00008764436,0.00002822911,0.0009434347,0.0000147416,0.004252367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009757542,"threshold_uncertainty_score":0.01940149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587957348162841,"score_gpt":0.2363552250907872,"score_spread":0.2104756516091588,"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."}}