{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001133861,0.0002641676,0.0004781911,0.0009424553,0.0008276114,0.0006572048,0.0006724941,0.0005820911,0.002752859],"category_scores_gemma":[0.002350118,0.0003999374,0.001625777,0.001312995,0.0002504756,0.0006095768,0.001074159,0.0007431574,0.0002582343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460784,"about_ca_system_score_gemma":0.0004591715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04610927,"about_ca_topic_score_gemma":0.06387749,"domain_scores_codex":[0.9992459,0.0002498118,0.00004990626,0.0002283022,0.00009622693,0.0001298748],"domain_scores_gemma":[0.9983355,0.0002572153,0.0006639495,0.0003173366,0.0001740953,0.000251841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001368462,0.00005708059,0.9975895,0.00001613284,0.0004078862,0.00005893938,0.0002793604,0.00005986663,0.000179406,0.00003605109,0.0002084974,0.0009706028],"study_design_scores_gemma":[0.00000975372,0.0001146255,0.9989403,0.00001032513,0.0001181664,0.00005042626,0.0002914011,0.0002300199,0.0000348746,0.00002265102,0.0001722262,0.000005274142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987244,0.0001097193,0.0001767537,0.00004339367,0.000002785822,0.00001120213,0.0007570391,0.000003969762,0.0001708385],"genre_scores_gemma":[0.9984155,0.00006389498,0.0004282204,0.00002830867,0.000006391402,0.00002800487,0.0007718849,0.00000419877,0.0002535936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04610927,"threshold_uncertainty_score":0.09168172,"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."}}