{"id":"W2342316345","doi":"10.1016/j.ssmph.2016.03.004","title":"Disparities in pedestrian streetscape environments by income and race/ethnicity","year":2016,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Ethnic group; Pedestrian; Geography; Walkability; Socioeconomic status; Household income; Metropolitan area; Demography; Socioeconomics; Built environment; Demographic economics; Sociology; Population; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003148766,0.00009578851,0.000150568,0.0004693866,0.0002560843,0.0002907047,0.0001421389,0.0001170899,0.001889461],"category_scores_gemma":[0.001063632,0.0000861917,0.0001685471,0.000716806,0.0002130965,0.0002991885,0.0004335048,0.0001384111,0.0001620183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00019749,"about_ca_system_score_gemma":0.0001998911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351254,"about_ca_topic_score_gemma":0.02954056,"domain_scores_codex":[0.9998236,0.00004077436,0.00001447109,0.00005279916,0.00003511414,0.00003321229],"domain_scores_gemma":[0.9996238,0.00005067575,0.0001888371,0.00002604249,0.00006232118,0.00004826549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004040694,0.00001918042,0.9948383,0.000008860682,0.00002427682,0.00003291307,0.0003308757,0.00005210091,0.0002449715,0.00009338752,0.0001115078,0.00420322],"study_design_scores_gemma":[7.6205e-7,0.00001098717,0.9994023,0.000003682653,0.000004482552,0.000025676,0.0002649843,0.00006802739,0.00003619681,0.00003565507,0.0001459704,0.000001298096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989109,0.00007758268,0.00008066191,0.00002288214,0.000001792762,0.000003580988,0.0001815262,0.000001585076,0.0007194901],"genre_scores_gemma":[0.9995191,0.00004960361,0.00008078218,0.00001029238,0.000002251156,0.000004456196,0.0001560453,9.399161e-7,0.0001764861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01351254,"threshold_uncertainty_score":0.02686781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411794869108198,"score_gpt":0.3287276887512174,"score_spread":0.3046097400601354,"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."}}