{"id":"W4297961959","doi":"10.1139/apnm-2022-0219","title":"Advertising expenditures across media on food and beverage products heavily advertised on youth-appealing television stations in Canada","year":2022,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Per capita; Advertising; Television advertising; Business; Consumption (sociology); Agricultural economics; Mass media; Marketing; Economics; Environmental health; Medicine; Population; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0004085674,0.0004821849,0.0002571219,0.002904438,0.001150446,0.001301736,0.0006433189,0.0001599626,0.00291803],"category_scores_gemma":[0.001516736,0.0002468899,0.0007164007,0.005708589,0.0003284502,0.0004830827,0.0005397898,0.000391592,0.0002967878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03156453,"about_ca_system_score_gemma":0.02458739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966459,"about_ca_topic_score_gemma":0.9972988,"domain_scores_codex":[0.9994637,0.00003382049,0.00003585306,0.00008184899,0.0002492627,0.0001354973],"domain_scores_gemma":[0.9983035,0.00009156142,0.000300889,0.00003111159,0.001041428,0.0002314577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001822761,0.00005024255,0.9497519,0.0002153554,0.0002007882,0.0001196687,0.0007974604,0.001290625,0.0004436717,0.0007429533,0.007826019,0.03837905],"study_design_scores_gemma":[0.000006971847,0.00002091437,0.989995,0.00008834391,0.0001313089,0.00005082757,0.0008792522,0.00110419,0.0003559197,0.00003189739,0.007316596,0.00001874822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939512,0.003047479,0.0005140675,0.0005491516,0.00002594787,0.00008810119,0.03576672,0.00008907173,0.02040749],"genre_scores_gemma":[0.9798259,0.003109804,0.0005778048,0.0001212723,0.00001001974,0.00003261903,0.01002018,0.00002021086,0.00628209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03156453,"threshold_uncertainty_score":0.2290177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791070354704201,"score_gpt":0.2568017238020568,"score_spread":0.2388910202550148,"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."}}