{"id":"W2930087559","doi":"10.1016/j.pmedr.2019.100861","title":"Healthy food marketing and purchases of fruits and vegetables in large grocery stores","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Department of Public Health; Los Angeles County Department of Public Health; U.S. Department of Agriculture","keywords":"Supplemental Nutrition Assistance Program; Grocery store; Psychological intervention; Environmental health; Quarter (Canadian coin); Medicine; Advertising; Business; Marketing; Food insecurity; Food security; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001421781,0.0001847004,0.0007707535,0.0001882189,0.00003212146,0.000003890641,0.00003161369,0.00006678786,0.00006542142],"category_scores_gemma":[0.0009830735,0.0001461233,0.0000457869,0.0002018326,0.0001546121,0.0001321132,0.0001508532,0.0002291952,9.43996e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004535048,"about_ca_system_score_gemma":0.00006644212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000124512,"about_ca_topic_score_gemma":0.00008852087,"domain_scores_codex":[0.9982095,0.0001571679,0.0005138361,0.0004379937,0.0003847111,0.0002968437],"domain_scores_gemma":[0.9986783,0.0004348004,0.000358181,0.0002582948,0.0001049392,0.000165431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001241536,0.001181046,0.9927565,0.001675416,0.00006799112,0.0001323608,0.0003863088,2.313738e-7,0.001718002,0.0001484147,0.0000749358,0.001734582],"study_design_scores_gemma":[0.001566941,0.001268851,0.991885,0.001641171,0.00009413551,0.0002208847,0.0004069881,0.0000360508,0.001049976,0.00142702,0.0002897331,0.0001132523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908129,0.005821456,0.00001095989,0.0005199304,0.0001473314,0.0007507782,0.000004432256,0.00002304146,0.001909165],"genre_scores_gemma":[0.9991125,0.0003023037,0.00005990442,0.00009167501,0.0001341619,0.00001671062,0.00001247246,0.00002153722,0.0002486745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008299654,"threshold_uncertainty_score":0.5958737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381959541263967,"score_gpt":0.2844458316665269,"score_spread":0.2706262362538873,"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."}}