{"id":"W4396672475","doi":"10.1017/s1368980024000983","title":"Development and testing of two tools to assess point-of-sale food and beverage marketing to children in restaurants","year":2024,"lang":"en","type":"article","venue":"Public Health Nutrition","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Health Canada","keywords":"Business; Point of sale; Marketing; Food marketing; Point (geometry); Advertising; Food science; Computer science; Mathematics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002364336,0.00006439049,0.0001930277,0.00005626855,0.00006774138,0.00007002674,0.00004601498,0.00002646725,0.00001214618],"category_scores_gemma":[0.001338917,0.00003206493,0.00001285477,0.0006509912,0.00001347816,0.0001007716,0.00004044775,0.00006434913,4.022773e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002725603,"about_ca_system_score_gemma":0.00002175904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001451789,"about_ca_topic_score_gemma":0.0002830394,"domain_scores_codex":[0.9988035,0.0002978627,0.0003551173,0.0002186656,0.0001270134,0.0001978372],"domain_scores_gemma":[0.998376,0.001335685,0.00004641328,0.00002315668,0.00005160775,0.0001671239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001324999,0.00007068955,0.01804088,0.0001963441,0.000006884606,0.000001084373,0.0002337076,6.393323e-7,0.01017489,0.0007260324,0.00003996189,0.9704956],"study_design_scores_gemma":[0.0001199654,0.0002440242,0.9960149,0.0004448578,0.000002076488,0.000005319829,0.0003264888,0.0001887783,0.0007681477,0.0004265089,0.001372834,0.00008613431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928622,0.00027586,0.0005220986,0.005909351,0.00001884142,0.0002825945,0.00005316447,0.00001443541,0.0000615085],"genre_scores_gemma":[0.9363635,0.00003020232,0.06327622,0.0002518228,0.00003448583,0.00001892725,0.00002085657,7.355504e-7,0.000003305764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.977974,"threshold_uncertainty_score":0.1602905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1769005242487394,"score_gpt":0.3627144918381947,"score_spread":0.1858139675894553,"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."}}