{"id":"W4407254067","doi":"10.1186/s40795-025-01019-z","title":"Examining differences in exposure to digital marketing of unhealthy foods reported by Canadian children and adolescents in two policy environments","year":2025,"lang":"en","type":"article","venue":"BMC Nutrition","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Ottawa Hospital; Bruyère; University of Ottawa","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Medicine; Clinical nutrition; Public health; Environmental health; Digital advertising; Quality of Life Research; Marketing; Advertising; Digital marketing; Social media marketing; Internal medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001043887,0.0003584498,0.0003360285,0.002206651,0.002339539,0.001469153,0.0009730259,0.0004586704,0.002041854],"category_scores_gemma":[0.00245221,0.0003762394,0.0007788846,0.003814427,0.0008553124,0.0005313721,0.001036528,0.0007434874,0.0001750592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02702476,"about_ca_system_score_gemma":0.0215614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939376,"about_ca_topic_score_gemma":0.9958149,"domain_scores_codex":[0.9988965,0.00006396693,0.00005737032,0.0001510501,0.0004394519,0.0003916723],"domain_scores_gemma":[0.9973098,0.0001420743,0.0009207422,0.00005327452,0.0009732064,0.0006008549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000251834,0.00002605494,0.995384,0.00002402925,0.00001865065,0.00002972023,0.002295198,0.00002413386,0.00007155348,0.00004742001,0.0002561007,0.001797936],"study_design_scores_gemma":[0.00000196396,0.00001540987,0.9962422,0.00001842648,0.000009787871,0.00001419199,0.003126167,0.00004255284,0.00003027372,0.000006203793,0.0004881088,0.000004747305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996397,0.000279632,0.00003888694,0.0001366117,0.000003763616,0.00002917563,0.00162271,0.000003522454,0.001488721],"genre_scores_gemma":[0.9973686,0.0004198343,0.0001707332,0.00006523446,0.000003264944,0.0000356766,0.001295935,0.000002665171,0.0006380629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02702476,"threshold_uncertainty_score":0.1960793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198193413598074,"score_gpt":0.2822062109020105,"score_spread":0.2623868695422031,"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."}}