{"id":"W2058676297","doi":"10.1016/j.appet.2015.04.057","title":"Using traffic light labels to improve food selection in recreation and sport facility eating environments","year":2015,"lang":"en","type":"article","venue":"Appetite","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Recreation; Revenue; Baseline (sea); Business; Consumption (sociology); Environmental health; Intervention (counseling); Advertising; Marketing; Psychology; Medicine; Finance; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.000248725,0.00008911463,0.0001507723,0.0000775517,0.00003479048,0.00001443343,0.00001947347,0.00005325,0.000008795191],"category_scores_gemma":[0.00003941747,0.00008797671,0.00001650141,0.0001445819,0.00001041955,0.00007185417,0.00002628682,0.00009776628,0.00001237191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123193,"about_ca_system_score_gemma":0.0000317304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008487345,"about_ca_topic_score_gemma":0.0001090456,"domain_scores_codex":[0.9992902,0.00001193643,0.000180911,0.0002289619,0.0001343009,0.0001536938],"domain_scores_gemma":[0.9997256,0.000007551428,0.0000369886,0.00008221422,0.00001704895,0.0001305594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002856868,0.0002019589,0.5963661,0.0001514228,0.0001112936,0.00001086695,0.002314877,0.0006412757,0.3210369,0.00003776975,0.00001263677,0.07882926],"study_design_scores_gemma":[0.0128567,0.004608929,0.8278975,0.003364947,0.0006955031,0.0002532906,0.00174143,0.04124749,0.06218887,0.0001031095,0.04361137,0.001430871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985013,0.000452848,0.0003118745,0.0001537368,0.0000444875,0.000336138,0.000003522527,0.00002180181,0.0001743059],"genre_scores_gemma":[0.9968088,0.00001637288,0.002936814,0.00007076926,0.00003824041,0.00001000096,0.000008860983,0.000008096568,0.0001019922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.258848,"threshold_uncertainty_score":0.3587586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03832091562722421,"score_gpt":0.2839698408309009,"score_spread":0.2456489252036767,"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."}}