{"id":"W1514261677","doi":"10.4137/cmped.s915","title":"Beyond Television: Children's Engagement with Online Food and Beverage Marketing","year":2008,"lang":"en","type":"article","venue":"Clinical medicine Pediatrics","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Advertising; Childhood obesity; Food marketing; Context (archaeology); Product (mathematics); The Internet; Psychology; Obesity; Medicine; Marketing; Business; Geography; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008333622,0.0002100394,0.0002962755,0.0008818116,0.001112319,0.002564885,0.0004293374,0.0006600042,0.006426026],"category_scores_gemma":[0.004032679,0.0003435366,0.000454994,0.0009463739,0.0007107506,0.001500944,0.001276108,0.001092303,0.0003427232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424771,"about_ca_system_score_gemma":0.001436547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0640051,"about_ca_topic_score_gemma":0.1075129,"domain_scores_codex":[0.9992738,0.0001581686,0.00003500596,0.00007601457,0.0002043246,0.0002526549],"domain_scores_gemma":[0.9972881,0.0007758284,0.001040449,0.0000811885,0.0002598379,0.0005544786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007278135,0.0002248444,0.8740429,0.0001892822,0.00003323546,0.0007006289,0.09435111,0.00004429898,0.0005663168,0.0005770432,0.001601038,0.02759639],"study_design_scores_gemma":[0.000005465086,0.00009832611,0.8984839,0.000200228,0.00004233122,0.0006302008,0.09237293,0.00009455127,0.0001702412,0.0001875165,0.007694534,0.00001977134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926077,0.0008057888,0.00004512753,0.0005062151,0.00001145848,0.00001185209,0.0002212646,0.000006691368,0.005783849],"genre_scores_gemma":[0.9969971,0.001252887,0.0001702325,0.00009690542,0.0000112335,0.00001829673,0.0001456561,0.000005614842,0.001302021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0640051,"threshold_uncertainty_score":0.1272651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05812322374743615,"score_gpt":0.305050996627136,"score_spread":0.2469277728796998,"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."}}