{"id":"W4376613062","doi":"10.24095/hpcdp.43.5.02","title":"Sex differences in children’s exposure to food and beverage advertisements on broadcast television in four cities in Canada","year":2023,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Western University; University of Ottawa","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Advertising; Unhealthy food; Appeal; Food marketing; Geography; Television advertising; Psychology; Obesity; Environmental health; Demography; Medicine; Political science; Business; 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":[0.0005466001,0.0003773417,0.0003325428,0.00172037,0.001893083,0.001412461,0.0009766332,0.0003177829,0.00286927],"category_scores_gemma":[0.001507178,0.0003566113,0.0006920944,0.003516177,0.0007315943,0.0003166841,0.0008101653,0.0004937257,0.0002310868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01715486,"about_ca_system_score_gemma":0.01342725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925437,"about_ca_topic_score_gemma":0.9963892,"domain_scores_codex":[0.9991178,0.0000470316,0.00004697871,0.0001331725,0.0003494384,0.0003056617],"domain_scores_gemma":[0.9981973,0.0001336742,0.0004495922,0.00004690374,0.0007985207,0.0003740218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004293226,0.00001400658,0.9933317,0.00002478037,0.00003440213,0.00007430244,0.002238693,0.00006299072,0.0001773472,0.00006941823,0.000616397,0.003312913],"study_design_scores_gemma":[0.000001186248,0.000006897742,0.9977168,0.0000136589,0.000008779793,0.00002067067,0.001779568,0.0000499719,0.0000336378,0.0000053729,0.000359067,0.000004425109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945057,0.0004231333,0.00004784699,0.0001559893,0.000005566338,0.00001693983,0.002815411,0.000006627081,0.002022804],"genre_scores_gemma":[0.9970725,0.0003966723,0.0001122995,0.00004183844,0.000002667126,0.00001322622,0.00136059,0.000005166686,0.0009950656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01715486,"threshold_uncertainty_score":0.1244678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498072060857148,"score_gpt":0.2835214285513815,"score_spread":0.25854070794281,"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."}}