{"id":"W3006593027","doi":"10.1177/0739456x20904428","title":"Livable Streets and Global Competitiveness: A Survey of Mexico City","year":2020,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Socioeconomic status; Equity (law); Urban planning; Economic growth; Regional science; Global city; Geography; Business; Political science; Sociology; Economics; Civil engineering; Engineering; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002440506,0.00003266541,0.0001200054,0.00004607111,0.0001850917,0.00005610393,0.0001161918,0.00003959121,0.00007359706],"category_scores_gemma":[0.0007083872,0.0000266932,0.0000160319,0.0003323746,0.0002592739,0.0001555966,0.00001753952,0.0001770422,3.445045e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002797487,"about_ca_system_score_gemma":0.0009165326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004069058,"about_ca_topic_score_gemma":0.0004865774,"domain_scores_codex":[0.998907,0.0003434037,0.0001792961,0.00007725816,0.0003800517,0.0001129378],"domain_scores_gemma":[0.9988365,0.0002430157,0.0001030165,0.00003160185,0.000600398,0.0001854571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005875876,0.00007965606,0.9902903,0.00003026455,0.000008111597,0.000001460208,0.007262344,0.000001394966,0.0000363073,0.0001772048,0.0006161447,0.001437984],"study_design_scores_gemma":[0.0001179444,0.00007010272,0.9913659,0.00007600294,0.000003405292,6.032085e-7,0.005845436,0.00000960254,0.00004860254,0.0003035078,0.002132381,0.00002651634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936902,0.001371377,0.00003243898,0.0021215,0.00009192537,0.00005183943,0.00001003242,0.000002247974,0.002628419],"genre_scores_gemma":[0.9995338,0.0001072477,0.0001246054,0.0000409043,0.0001126255,3.443981e-7,0.000002179601,0.000001385425,0.0000768467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005843641,"threshold_uncertainty_score":0.6151226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1971732579475683,"score_gpt":0.4809766921894361,"score_spread":0.2838034342418678,"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."}}