{"id":"W2023120264","doi":"10.4236/ojpm.2011.13024","title":"Neighbourhood differences in objectively measured physical activity, sedentary time and body mass index","year":2011,"lang":"en","type":"article","venue":"Open Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Champlain Local Health Integration Network; University of Ottawa","keywords":"Neighbourhood (mathematics); Body mass index; Demography; Socioeconomic status; Logistic regression; Physical activity; Analysis of covariance; Recreation; Post hoc; Post-hoc analysis; Household income; Gerontology; Analysis of variance; Medicine; Geography; Statistics; Physical therapy; Mathematics; Population; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001765001,0.0001317044,0.0005284158,0.000118188,0.0001365202,0.00003930238,0.000571815,0.00005497508,0.001052378],"category_scores_gemma":[0.000149158,0.00009238101,0.00006507809,0.0002584583,0.0004894781,0.0009499957,0.00006495368,0.0003272423,0.000002898051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006620683,"about_ca_system_score_gemma":0.0001974135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004726562,"about_ca_topic_score_gemma":0.001552673,"domain_scores_codex":[0.99829,0.0004894556,0.0002898091,0.0001943427,0.0005193218,0.0002170983],"domain_scores_gemma":[0.9990712,0.0001249338,0.0003780049,0.00008962195,0.0001566644,0.0001795328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003829834,0.0004970674,0.9734816,0.00000924769,0.00008681747,0.0000606785,0.01440167,4.779137e-8,0.001666777,0.0001070245,0.00005139771,0.009254664],"study_design_scores_gemma":[0.001435543,0.0003547532,0.9845833,0.0002352708,0.00007610855,0.000001966969,0.002342926,0.00001515965,0.000407579,0.01041815,0.00002675762,0.0001025088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786291,0.0001275439,0.0001943089,0.0004695781,0.0001580465,0.0003747955,0.000003433457,0.000004115968,0.02003913],"genre_scores_gemma":[0.9987726,0.00003591386,0.00008524011,0.00002498892,0.0002673129,0.000003760651,5.765812e-7,0.000006627428,0.0008029463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02014359,"threshold_uncertainty_score":0.9998608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594056531046761,"score_gpt":0.3297742702703358,"score_spread":0.2738337049598682,"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."}}