{"id":"W2809878011","doi":"","title":"Regulation of Food Advertising to Children in Six Jurisdictions: A Framework for Analyzing and Improving the Performance of Regulatory Instruments","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jurisdiction; Transparency (behavior); Business; Statutory law; Enforcement; Food marketing; Accountability; Unhealthy food; Marketing; Public health; Food policy; Public economics; Public relations; Political science; Medicine; Food security; Economics; Obesity; Law; Agriculture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0513117,0.0006524216,0.001069167,0.006514381,0.006538379,0.01383896,0.004308524,0.00659544,0.002832344],"category_scores_gemma":[0.05230966,0.0008739,0.002933533,0.003079974,0.02961866,0.009122603,0.007104413,0.006559202,0.0001890304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02396625,"about_ca_system_score_gemma":0.02656851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07612792,"about_ca_topic_score_gemma":0.0452479,"domain_scores_codex":[0.9365124,0.04155251,0.002989038,0.005653115,0.007950441,0.005342532],"domain_scores_gemma":[0.9145678,0.05413942,0.01302615,0.006581171,0.009761833,0.001923482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001413069,0.00005804571,0.005019301,0.00005381653,0.00002601194,0.0001146491,0.00243465,0.005055634,0.0001291517,0.9822143,0.0004651028,0.004415104],"study_design_scores_gemma":[0.0001474584,0.0002853556,0.02318879,0.001061061,0.0002857739,0.0002211681,0.00909021,0.05132924,0.00125854,0.850579,0.06233686,0.0002166931],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2758527,0.008910696,0.3668258,0.06791419,0.0003916954,0.002084991,0.0005817728,0.0002888805,0.2771493],"genre_scores_gemma":[0.9136214,0.001259911,0.07889951,0.002073767,0.0001572565,0.0007863963,0.00009780902,0.00002925466,0.003074639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07612792,"threshold_uncertainty_score":0.2713655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00889038109971263,"score_gpt":0.2592605518386867,"score_spread":0.2503701707389741,"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."}}