{"id":"W3004418889","doi":"10.3390/nu12020428","title":"Exposure to Food and Beverage Advertising on Television among Canadian Adolescents, 2011 to 2016","year":2020,"lang":"en","type":"article","venue":"Nutrients","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; University of Ottawa","funders":"Canadian Institutes of Health Research; Centers for Disease Control and Prevention; Heart and Stroke Foundation of Canada","keywords":"Television advertising; Advertising; Food marketing; Consumption (sociology); Unhealthy food; Food consumption; Psychology; Environmental health; Marketing; Business; Medicine; Agricultural economics; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000640357,0.000375914,0.0002792312,0.003092301,0.002268403,0.001429011,0.0008351245,0.0002973988,0.003050083],"category_scores_gemma":[0.001914379,0.0002773841,0.0006144271,0.005270808,0.0005496906,0.0004270524,0.0007391418,0.0006424002,0.0003290238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02865702,"about_ca_system_score_gemma":0.03112671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973787,"about_ca_topic_score_gemma":0.9987597,"domain_scores_codex":[0.9991653,0.0000271782,0.00003895043,0.00008087142,0.0004987657,0.0001889713],"domain_scores_gemma":[0.997993,0.00005449562,0.000334994,0.00002875173,0.001271706,0.0003171249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001078245,0.00003370724,0.9640749,0.0002214074,0.00005952942,0.0001124785,0.005062779,0.00008413124,0.0003691931,0.0002926896,0.006370522,0.02321089],"study_design_scores_gemma":[0.000002612236,0.00001654191,0.9898918,0.0000843271,0.00003484862,0.00005434767,0.003196767,0.00009367718,0.0001159085,0.00001170242,0.006484461,0.00001300279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540995,0.003456806,0.0001743637,0.0009036462,0.00003984772,0.00009284935,0.02585498,0.0000472281,0.01533094],"genre_scores_gemma":[0.9828623,0.004098817,0.0004504856,0.0002697192,0.00002339028,0.00003760966,0.007426628,0.00001739172,0.004813612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02865702,"threshold_uncertainty_score":0.2079223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725554142885839,"score_gpt":0.2389789847337596,"score_spread":0.2217234433049012,"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."}}