{"id":"W1978040775","doi":"10.1371/journal.pone.0032908","title":"Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study)","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agence Régionale de Santé Île-de-France; Institut pour la Recherche en Santé Publique; Conservatoire National des Arts et Métiers; Canadian Institutes of Health Research; Institut de Veille Sanitaire; Vetenskapsrådet; Institut National de Prévention et d'Éducation pour la Santé; Agence Nationale de la Recherche; National Geographic Society","keywords":"Body mass index; Waist; Environmental health; Residence; Psychological intervention; Purchasing; Overweight; Obesity; Multilevel model; Medicine; Psychology; Demography; Business; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004517756,0.0002195329,0.001308912,0.0003580755,0.00005650107,0.00001148436,0.00008685831,0.00008805701,0.0001299029],"category_scores_gemma":[0.0004647029,0.0001816869,0.0000961803,0.0006733141,0.0001198699,0.0002564235,0.0001122051,0.0002438135,0.000003066094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000682493,"about_ca_system_score_gemma":0.00005445778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002260747,"about_ca_topic_score_gemma":0.00009577258,"domain_scores_codex":[0.9978225,0.0002021606,0.000525562,0.0002533773,0.0008262978,0.0003701509],"domain_scores_gemma":[0.9981156,0.0004864325,0.0003759673,0.0003813589,0.0003665687,0.0002740899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001002613,0.06840031,0.9115934,0.0001766721,0.009492741,0.000002305043,0.002430766,1.433935e-7,0.007643415,0.00004019071,0.00001213678,0.0001076411],"study_design_scores_gemma":[0.001437063,0.0007553777,0.9773725,0.0001140084,0.01264691,3.570383e-7,0.0002444041,0.0005527141,0.006686946,0.000009661957,0.000002752479,0.0001772766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978686,0.00003789229,0.000005782096,0.0000394391,0.0000216405,0.000661912,0.001107892,0.00002804237,0.0002288273],"genre_scores_gemma":[0.9983898,0.00003624491,0.001069318,0.00003239436,0.00008965426,0.00003237887,0.0002366103,0.00002994858,0.00008366652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06764492,"threshold_uncertainty_score":0.7408977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04067668988149051,"score_gpt":0.2718302015660234,"score_spread":0.2311535116845329,"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."}}