{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001496164,0.0002066967,0.0003359321,0.0002434011,0.0003687622,0.00005573326,0.0001923964,0.00009906118,0.0003916557],"category_scores_gemma":[0.001331167,0.0001554574,0.00006143301,0.0004927584,0.0003000069,0.0003362998,0.0001576337,0.0004175018,0.00006220675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001082943,"about_ca_system_score_gemma":0.00003185337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000028887,"about_ca_topic_score_gemma":0.00001939189,"domain_scores_codex":[0.9980712,0.00006203653,0.0007245811,0.000473083,0.0004372707,0.0002318082],"domain_scores_gemma":[0.9985328,0.0005106526,0.0003507825,0.000321599,0.0002258951,0.00005830107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007582029,0.0001775939,0.8456191,0.00005955478,0.00001656501,0.00001277812,0.00002038745,4.837125e-7,0.000003253452,0.000128434,0.009149042,0.144737],"study_design_scores_gemma":[0.002075315,0.00005273549,0.9837507,0.00004071294,0.0002365864,0.00002002345,0.00008623658,0.00005790502,3.666225e-7,0.0000905077,0.01337839,0.0002105192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944516,0.0009993953,0.0001356792,0.002414554,0.0006585747,0.0003426014,0.000005739937,0.0001281262,0.0008637423],"genre_scores_gemma":[0.9904823,0.002446419,0.0004104181,0.001963054,0.004256778,0.00001274437,0.0001292742,0.00002702111,0.0002719998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1445264,"threshold_uncertainty_score":0.6339368,"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."}}