{"id":"W2753406381","doi":"10.1155/2017/5042614","title":"Interactions between Neighbourhood Urban Form and Socioeconomic Status and Their Associations with Anthropometric Measurements in Canadian Adults","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental and Public Health","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Institute of Population and Public Health; Institute of Musculoskeletal Health and Arthritis; Alberta Innovates; Alberta Innovates - Health Solutions; Canadian Institutes of Health Research; Alberta Cancer Foundation; Public Health Agency; Public Health Agency of Canada","keywords":"Neighbourhood (mathematics); Socioeconomic status; Disadvantaged; Waist; Demography; Anthropometry; Body mass index; Marital status; Gerontology; Walkability; Geography; Psychology; Medicine; Sociology; Mathematics; Population; Physical activity; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000645234,0.0003437524,0.000410425,0.001030856,0.001967829,0.001136116,0.0008719118,0.0004340215,0.002049117],"category_scores_gemma":[0.002122777,0.000323091,0.0006993965,0.002903889,0.0006072573,0.0003142806,0.0009753114,0.0004117794,0.0001882526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006121269,"about_ca_system_score_gemma":0.005899539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9704601,"about_ca_topic_score_gemma":0.9833421,"domain_scores_codex":[0.999293,0.00006312951,0.00005532889,0.0001567201,0.0002322634,0.0001995916],"domain_scores_gemma":[0.998784,0.00009779218,0.000289576,0.00009286314,0.0004342054,0.0003015879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007252758,0.00002009845,0.9967791,0.00002094523,0.00007313617,0.00002870857,0.0003629505,0.00005569221,0.00009337947,0.00005676031,0.0002689917,0.002167661],"study_design_scores_gemma":[0.000001544975,0.000007973555,0.9995022,0.000006451341,0.00001189661,0.00001123526,0.0002191365,0.00007158463,0.000008805718,0.00001278011,0.0001425263,0.000003879528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962651,0.0005901757,0.00006792058,0.0001030132,0.000007646962,0.00001204492,0.001650314,0.00000621428,0.001297617],"genre_scores_gemma":[0.998615,0.0002013216,0.0001104659,0.00002521385,0.000003058796,0.000007173992,0.0007516229,0.000003284086,0.0002827737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02953988,"threshold_uncertainty_score":0.05942762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440555240939033,"score_gpt":0.2887189847669197,"score_spread":0.2543134323575293,"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."}}