{"id":"W1990758068","doi":"10.1016/j.jneb.2010.12.006","title":"Nutrition Labeling and Portion Size Information on Children's Menus in Fast-Food and Table-Service Chain Restaurants in London, UK","year":2011,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Portion size; Nutrition Labeling; Table (database); Food service; Food labeling; Chain (unit); Service (business); Nutrition information; Business; Advertising; Marketing; Computer science; Food science; Database; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005637949,0.0001819107,0.0002798017,0.00123938,0.0006589916,0.0007510275,0.000353924,0.0004842837,0.007977969],"category_scores_gemma":[0.00271768,0.0004405084,0.0004699881,0.001529132,0.000454447,0.0006487064,0.0006559704,0.0006261992,0.0008370365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619492,"about_ca_system_score_gemma":0.0009988748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2668318,"about_ca_topic_score_gemma":0.5072719,"domain_scores_codex":[0.9993392,0.0001470368,0.0001040877,0.0001125161,0.000163412,0.0001336563],"domain_scores_gemma":[0.9974436,0.0006790086,0.001014431,0.00006219927,0.000497002,0.0003038428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004757752,0.00005767813,0.974997,0.0001710112,0.00002591356,0.0007101283,0.01248164,0.0001545759,0.001729931,0.0002074638,0.001702691,0.007286288],"study_design_scores_gemma":[0.000003474573,0.00005016379,0.9957215,0.00003261861,0.000006072965,0.0001156938,0.003128758,0.00005292938,0.000129255,0.00001311739,0.00073784,0.000008571543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971527,0.0001684611,0.00002590363,0.0001480525,0.000004607643,0.000005217659,0.000866149,0.000005033422,0.001623895],"genre_scores_gemma":[0.9959122,0.000195034,0.000121828,0.00003780719,0.000003916157,0.000009776627,0.0006974811,0.000006907384,0.003015093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2668318,"threshold_uncertainty_score":0.5305574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813087469964389,"score_gpt":0.273144377364774,"score_spread":0.2550135026651301,"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."}}