{"id":"W2913280364","doi":"10.1111/ijpo.12508","title":"Children and adolescents' exposure to food and beverage marketing in social media apps","year":2019,"lang":"en","type":"article","venue":"Pediatric Obesity","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":245,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Social media; Unhealthy food; Food marketing; Medicine; Social marketing; Obesity; Childhood obesity; Environmental health; Advertising; Marketing; Business; Overweight","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398362,0.0001497051,0.000299569,0.0001826373,0.000559521,0.00000769176,0.0001118448,0.0002317918,0.000075886],"category_scores_gemma":[0.0003016923,0.0001530923,0.00002167035,0.0003798971,0.00001540948,0.00006740135,0.0001949255,0.0006142083,0.0001575027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008422301,"about_ca_system_score_gemma":0.0002142131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001172631,"about_ca_topic_score_gemma":0.0004615887,"domain_scores_codex":[0.9978536,0.0004075854,0.0004894538,0.0004299338,0.0001892673,0.0006301717],"domain_scores_gemma":[0.9986306,0.000539596,0.0001579198,0.0001936034,0.00005258865,0.0004257381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005467654,0.00005885868,0.9900861,0.0006174375,0.000001501304,2.964698e-7,0.001073731,2.571126e-7,0.000002369694,0.0001609623,0.002535003,0.005408764],"study_design_scores_gemma":[0.001239981,0.00004301962,0.9971448,0.00004328371,0.00001085773,8.420081e-7,0.0002125409,0.000003955668,2.837978e-7,0.0001519877,0.001019216,0.0001291991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947138,0.0008562353,0.0000211211,0.0006459695,0.0002612262,0.002981586,0.00007307017,0.00005882526,0.0003881684],"genre_scores_gemma":[0.9957716,0.0009886817,0.0001962466,0.0009303408,0.001466557,0.0005316521,0.00002387288,0.000019621,0.00007144371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007058691,"threshold_uncertainty_score":0.6242921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412746532202087,"score_gpt":0.3105087472347833,"score_spread":0.2963812819127624,"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."}}