{"id":"W6977001726","doi":"10.6084/m9.figshare.22623616","title":"Additional file 1 of Differences in child and adolescent exposure to unhealthy food and beverage advertising on television in a self-regulatory environment","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"","keywords":"Unhealthy food; Television advertising; Food standards; Healthy food","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004469299,0.00007283726,0.0001414187,0.00002961901,0.00004994572,0.00001071532,0.00004456188,0.0000451156,0.4600835],"category_scores_gemma":[0.0005498306,0.00003310854,0.0000197202,0.0001951422,0.000006081342,0.00002345184,0.00005074843,0.00007260356,0.00004028114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001342782,"about_ca_system_score_gemma":0.00000274372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002332706,"about_ca_topic_score_gemma":0.00004817614,"domain_scores_codex":[0.9992961,0.00009302123,0.0001486075,0.0002061423,0.0001339203,0.0001221664],"domain_scores_gemma":[0.9985421,0.001318988,0.00003694091,0.00002686967,0.000006326159,0.00006881697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005805762,0.0002556565,0.002551534,0.0001691353,0.00001308453,0.00001850813,0.0002065133,0.00004188965,0.0003715821,0.00002179538,0.7398145,0.2564778],"study_design_scores_gemma":[0.0000584222,0.0003560519,0.9770055,0.001442058,9.142794e-7,7.932115e-7,0.00007421429,0.0001533454,0.00002810907,0.00005704419,0.02075236,0.00007113868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2814293,0.00004190677,4.948114e-8,0.0001405357,0.000002608056,0.0001034698,0.71821,0.000009518647,0.00006258462],"genre_scores_gemma":[0.8868703,0.00001812832,0.000243236,0.0002114791,0.00003257043,0.00009058512,0.1125053,8.382544e-7,0.00002760819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.974454,"threshold_uncertainty_score":0.5404101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521925544768064,"score_gpt":0.2351475120963955,"score_spread":0.1999282566487149,"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."}}