{"id":"W4392240309","doi":"10.21203/rs.3.rs-3909431/v1","title":"Beyond the Screen: Exploring the Dynamics of Social Media Influencers, Food Marketing, and Gendered Influences on Adolescent Diets","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Ottawa; University of Waterloo","funders":"Canadian Institutes of Health Research; Health Canada; Canada Research Chairs","keywords":"Influencer marketing; Social media; Dynamics (music); Social marketing; Social dynamics; Advertising; Psychology; Sociology; Marketing; Business; Political science; Marketing management; Relationship marketing; Social science","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":[0.001267931,0.0001570902,0.0001917702,0.0007662351,0.0007450539,0.002874392,0.0003448055,0.0004331409,0.006598512],"category_scores_gemma":[0.005311439,0.000219234,0.0002289889,0.0007673198,0.00103487,0.002608275,0.001199842,0.0009853463,0.0003221363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158139,"about_ca_system_score_gemma":0.0006873403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038147,"about_ca_topic_score_gemma":0.01907912,"domain_scores_codex":[0.9996141,0.0001836064,0.000009798417,0.00005907804,0.00005793758,0.00007563515],"domain_scores_gemma":[0.9957817,0.003045363,0.0004956427,0.0001440449,0.000227001,0.000306403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005137956,0.0006042813,0.7937397,0.0001122726,0.00008896688,0.0004836934,0.1403094,0.0001037352,0.002813802,0.01046877,0.001126924,0.04963468],"study_design_scores_gemma":[0.00001680277,0.0001248866,0.8930983,0.00008200829,0.00006992107,0.0001145651,0.09682224,0.0005635268,0.0007392875,0.002306018,0.006047746,0.00001467249],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929883,0.0002481969,0.0001882403,0.0004778565,0.00001076676,0.00001016984,0.0001087786,0.000002238305,0.005965508],"genre_scores_gemma":[0.9978232,0.0002421718,0.0001588509,0.00008065665,0.00001031094,0.00001570107,0.00004454267,0.000006253081,0.001618236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01038147,"threshold_uncertainty_score":0.02207416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109097926829923,"score_gpt":0.3844963544890838,"score_spread":0.2735865618060914,"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."}}