{"id":"W1419594391","doi":"10.1016/j.jth.2015.08.001","title":"Exposure to walkable neighbourhoods in urban areas increases utilitarian walking: Longitudinal study of Canadians","year":2015,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Odds; Longitudinal study; Logistic regression; Geography; Demography; Population; Poison control; Multinomial logistic regression; Level design; Psychology; Quartile; Environmental health; Gerontology; Medicine; Sociology; Statistics; Confidence interval; Mathematics; Engineering","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":[0.004111365,0.0001918838,0.0007950588,0.0004011735,0.0002042972,0.00002308588,0.000546818,0.0001034272,0.0001295021],"category_scores_gemma":[0.0001238019,0.0001746091,0.0001488346,0.0008943932,0.0001050036,0.0004717878,0.000007089323,0.0004003354,0.000001270434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000584852,"about_ca_system_score_gemma":0.004512659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5688041,"about_ca_topic_score_gemma":0.8458965,"domain_scores_codex":[0.9963322,0.0003265056,0.001428339,0.0002750557,0.001008334,0.0006295685],"domain_scores_gemma":[0.9973308,0.00007274391,0.0005320669,0.0002698047,0.0004109414,0.001383648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000284599,0.001296276,0.933391,0.00004300589,0.00003331244,0.000171237,0.06306742,0.00008164123,0.000001189981,0.0001298181,0.0004253027,0.001075198],"study_design_scores_gemma":[0.001410469,0.001749008,0.9640551,0.0001415791,0.00004227784,0.000003666755,0.03021895,0.000001205797,0.000002228551,0.0002665927,0.001963256,0.0001456294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950268,0.000842147,0.00007246516,0.002153277,0.00035547,0.0005461707,0.00002945452,0.00001432297,0.000959839],"genre_scores_gemma":[0.9990668,0.00003168995,0.0002802103,0.0002078196,0.0002844968,0.000004710597,0.000004553648,0.00001650699,0.0001031876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2770925,"threshold_uncertainty_score":0.8005264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05683478036172445,"score_gpt":0.3419009079597158,"score_spread":0.2850661275979913,"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."}}