{"id":"W4407169960","doi":"10.1371/journal.pdig.0000729","title":"Beyond the screen: Exploring the dynamics of social media influencers, digital food marketing, and gendered influences on adolescent diets","year":2025,"lang":"en","type":"article","venue":"PLOS Digital Health","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Canadian Nutrition Society; University of Ottawa","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Health Canada; Canada Research Chairs","keywords":"Influencer marketing; Social media; Advertising; Product (mathematics); Food marketing; Marketing; Business; Political science; Relationship marketing; Marketing management; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001332544,0.0002221383,0.0003442207,0.00009701835,0.001313585,0.0007286497,0.000551763,0.00009168079,0.00000437649],"category_scores_gemma":[0.004104132,0.0001529252,0.0001199434,0.0005751512,0.001305873,0.0007175581,0.0002059825,0.0003479651,0.000004241881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617181,"about_ca_system_score_gemma":0.0005940821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009865339,"about_ca_topic_score_gemma":0.001068421,"domain_scores_codex":[0.9973179,0.0003423961,0.0005120843,0.0003401536,0.0008681398,0.0006193739],"domain_scores_gemma":[0.9963579,0.002806524,0.00028305,0.0002149422,0.0001504747,0.000187159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003923096,0.0004836163,0.0804978,0.0004386814,0.0002068281,0.000002604444,0.0614493,0.000004239141,9.474161e-7,0.1589048,0.002475139,0.6951438],"study_design_scores_gemma":[0.001192666,0.0005222026,0.7307328,0.001735341,0.00006911312,0.000001339004,0.2104762,0.0001255242,0.00001654019,0.04029632,0.01401213,0.000819818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883359,0.0003802699,0.000006017529,0.01206816,0.0004491947,0.0005389869,0.0003035848,0.0001014477,0.1027933],"genre_scores_gemma":[0.9982868,0.0002342098,0.000006855077,0.0009070059,0.0002521885,0.00003945495,0.00002335621,0.00001724608,0.0002329244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.694324,"threshold_uncertainty_score":0.9999866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04169963832612292,"score_gpt":0.292561127925359,"score_spread":0.2508614895992362,"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."}}