{"id":"W2099291123","doi":"10.1038/oby.2011.392","title":"Relationships Between Neighborhoods, Physical Activity, and Obesity: A Multilevel Analysis of a Large Canadian City","year":2012,"lang":"en","type":"article","venue":"Obesity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Public Health; Statistics Canada; Institute of Population and Public Health; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Canadian Institutes of Health Research; Champlain Local Health Integration Network; University of Ottawa","keywords":"Overweight; Odds; Obesity; Demography; Multilevel model; Neighbourhood (mathematics); Medicine; Odds ratio; Multivariate analysis; Gerontology; Environmental health; Geography; Logistic regression; Statistics; Sociology","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":[0.001131,0.0001043585,0.0003385558,0.0001760151,0.0006942751,0.00002780916,0.0001588444,0.0001440422,0.0001309793],"category_scores_gemma":[0.0001652643,0.0001046541,0.0001379903,0.0007937297,0.0001867742,0.0005071785,0.00003296536,0.0002417801,0.000005778448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001131076,"about_ca_system_score_gemma":0.0001813945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.336147,"about_ca_topic_score_gemma":0.6887747,"domain_scores_codex":[0.9987009,0.0002576342,0.0001253225,0.0002100349,0.0002676091,0.0004385243],"domain_scores_gemma":[0.9988967,0.0002172242,0.00009314398,0.0002079615,0.00006860187,0.0005163501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002490707,0.0002928456,0.9907765,0.000007985396,0.0001273664,3.791808e-7,0.006293073,2.524847e-7,0.00001077732,0.001769553,0.00001920559,0.0006995851],"study_design_scores_gemma":[0.0001065617,0.000006119737,0.9979517,0.000003932577,0.0005561229,1.207866e-8,0.000263213,0.0001168356,0.00007212144,0.0004708998,0.0003361106,0.0001163773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952913,0.0000386883,0.0003643891,0.0001656889,0.00003994415,0.0001557127,0.0002540418,0.00002834869,0.003661907],"genre_scores_gemma":[0.9995366,0.000003622985,0.0000762112,0.00001312346,0.0001777495,0.000002964894,0.00002522995,0.000004665693,0.0001598124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3526277,"threshold_uncertainty_score":0.6682737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05866848865725181,"score_gpt":0.3309834468604637,"score_spread":0.2723149582032119,"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."}}