{"id":"W6939820506","doi":"10.6084/m9.figshare.20365015","title":"Additional file 1 of Designing legislative responses to restrict children’s exposure to unhealthy food and non-alcoholic beverage marketing: a case study analysis of Chile, Canada and the United Kingdom","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Unhealthy food; Government (linguistics); Legislation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003611467,0.0004910738,0.0007116911,0.002750915,0.001990248,0.001414669,0.001903607,0.00112877,0.7942138],"category_scores_gemma":[0.05723345,0.0004976193,0.000452374,0.004776907,0.0004922173,0.001548104,0.001031736,0.0009895609,0.06540633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004160035,"about_ca_system_score_gemma":0.008205455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09714636,"about_ca_topic_score_gemma":0.1596079,"domain_scores_codex":[0.9986124,0.0004861496,0.0001915817,0.0001461438,0.0003494185,0.0002143272],"domain_scores_gemma":[0.9289862,0.05415775,0.002938405,0.001607728,0.01077782,0.001532151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001654413,0.0001409861,0.004172832,0.001448299,0.000009343852,0.0000912651,0.001543238,0.0001994139,0.00002483201,0.00138056,0.9804129,0.01041089],"study_design_scores_gemma":[0.00384008,0.0004214043,0.09979708,0.007013572,0.0001052523,0.000414035,0.02964874,0.001185227,0.0005466563,0.006354055,0.8505164,0.0001575992],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002235491,0.000036139,0.0003721277,0.0007827203,0.0000422051,0.001363921,0.9842346,0.000107106,0.01082564],"genre_scores_gemma":[0.09758817,0.0007276498,0.01491,0.002087115,0.0001820411,0.06123792,0.7116119,0.0005953178,0.1110598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9028536,"threshold_uncertainty_score":0.293529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04292627735296405,"score_gpt":0.3070809741444721,"score_spread":0.264154696791508,"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."}}