{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008897365,0.0002652569,0.0002995943,0.000995277,0.0004081522,0.001491845,0.0002528064,0.0005383178,0.004384721],"category_scores_gemma":[0.004231013,0.0003698744,0.0006405364,0.000700832,0.0003326071,0.0009930033,0.000995707,0.0007064483,0.0005207237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276461,"about_ca_system_score_gemma":0.0003857742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003611096,"about_ca_topic_score_gemma":0.005194188,"domain_scores_codex":[0.9990649,0.0001873305,0.00008514427,0.0001290759,0.000369006,0.0001646359],"domain_scores_gemma":[0.9967259,0.0009827291,0.001646145,0.00007471983,0.0002740237,0.0002964883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004354704,0.00009731203,0.9820369,0.00009018888,0.00003493501,0.0001708278,0.003755372,0.00002471765,0.0004337147,0.00005896624,0.0004124998,0.01284095],"study_design_scores_gemma":[0.00000292508,0.0001324977,0.9924741,0.00008043878,0.00004418059,0.0005279998,0.004836895,0.00006207771,0.0002127402,0.00003085123,0.00158911,0.00000617644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974756,0.0004452201,0.00005150384,0.0001601894,0.000009134063,0.00001647662,0.0001925837,0.000006244104,0.001643019],"genre_scores_gemma":[0.9977847,0.0009669121,0.0002581834,0.0001005827,0.00001453637,0.00003853025,0.0002328621,0.000005376597,0.0005984501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004384721,"threshold_uncertainty_score":0.01466835,"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."}}