{"id":"W4251972823","doi":"10.32920/14638671.v1","title":"Beyond Television: Children’s Engagement with Online Food and Beverage Marketing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Childhood obesity; Context (archaeology); Food marketing; Advertising; Unhealthy food; Obesity; Product (mathematics); Medicine; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001251208,0.000276899,0.0003721616,0.001020585,0.001377698,0.002970869,0.0005572551,0.0009205715,0.008950631],"category_scores_gemma":[0.00575845,0.0005409368,0.0007072372,0.001203528,0.0008456059,0.002179226,0.001775424,0.001594305,0.0005600071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889822,"about_ca_system_score_gemma":0.001674204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06811363,"about_ca_topic_score_gemma":0.1084955,"domain_scores_codex":[0.9988827,0.000262231,0.00006127325,0.0001244873,0.0002994755,0.0003698277],"domain_scores_gemma":[0.995838,0.001184047,0.001540272,0.0001445722,0.0004006741,0.0008923522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009290371,0.0003378956,0.8242189,0.000279665,0.00005603119,0.0009303064,0.1393165,0.00005452181,0.0005298927,0.0006478745,0.003763229,0.02977227],"study_design_scores_gemma":[0.000006971846,0.0001018992,0.8680267,0.0002873825,0.00004959559,0.0005703719,0.1209018,0.00009521904,0.0001589693,0.0002052818,0.009565327,0.00003042988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912865,0.0008477858,0.00005559138,0.0009424011,0.00002153355,0.00001643969,0.0003796039,0.000009106964,0.006441159],"genre_scores_gemma":[0.9958768,0.001595514,0.0002177768,0.000200229,0.00001673412,0.00003876666,0.0002830017,0.00001028902,0.001760938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06811363,"threshold_uncertainty_score":0.1354343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702873305104216,"score_gpt":0.271933225938996,"score_spread":0.2549044928879539,"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."}}