{"id":"W6921485692","doi":"10.6084/m9.figshare.c.6058028.v1","title":"Cross-sectional and longitudinal associations between the built environment and walking: effect modification by socioeconomic status","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Built environment; Walkability; Socioeconomic status; Longitudinal study; Effect modification; Population; Level design; Regression analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002782094,0.0003429683,0.0003521907,0.0006663269,0.0004353939,0.000723926,0.0007075318,0.0004528145,0.001585788],"category_scores_gemma":[0.005451159,0.0003503671,0.001068216,0.0009824305,0.0003946348,0.0004952021,0.0008101402,0.0005686426,0.0001629016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004840984,"about_ca_system_score_gemma":0.0009243186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05165926,"about_ca_topic_score_gemma":0.061492,"domain_scores_codex":[0.9986753,0.0004563209,0.0001064346,0.0003934139,0.0001752243,0.0001932376],"domain_scores_gemma":[0.9965014,0.0008508438,0.0009719142,0.000659779,0.0006638307,0.0003521101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001010431,0.00003286687,0.9968261,0.00001507786,0.0004837208,0.0000231415,0.0001155527,0.00007485657,0.000186015,0.00005052535,0.0001012298,0.001990069],"study_design_scores_gemma":[0.000002629566,0.00002627652,0.999476,0.000007066998,0.00008786542,0.00001532506,0.00004757873,0.0001434875,0.00004931502,0.00003689237,0.0001054663,0.00000218417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996969,0.0008101431,0.000703419,0.0001326475,0.00002111778,0.00001336174,0.0008235209,0.00001899996,0.0005077352],"genre_scores_gemma":[0.9985416,0.0001515555,0.0003917976,0.00004053555,0.000009452237,0.00001406614,0.0006236695,0.000005039794,0.000222348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05165926,"threshold_uncertainty_score":0.1027172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04750449104028399,"score_gpt":0.3071151481969541,"score_spread":0.2596106571566701,"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."}}