{"id":"W4205981974","doi":"10.2139/ssrn.3981315","title":"How Does \"Open Community\" Policy Impact on Walkability: Case Study in Beijing","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Amorfix (Canada)","funders":"","keywords":"Walkability; Beijing; Environmental health; Business; Geography; China; Medicine; Built environment; Engineering; Civil engineering","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":[0.001236505,0.000230852,0.0003977171,0.0007897173,0.003417994,0.002272864,0.001272888,0.00174775,0.007130396],"category_scores_gemma":[0.003028022,0.0001572658,0.000380117,0.00189538,0.002842766,0.001971561,0.002523318,0.001111427,0.0004326201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008685165,"about_ca_system_score_gemma":0.003924853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1555783,"about_ca_topic_score_gemma":0.2991571,"domain_scores_codex":[0.9983063,0.0007060991,0.00004152947,0.0001263536,0.0001750233,0.0006446929],"domain_scores_gemma":[0.9981388,0.0005848555,0.0002745288,0.0001525401,0.0002134264,0.0006358559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001207255,0.004341765,0.6214885,0.000594044,0.0003886351,0.01729674,0.1157611,0.01499328,0.006200631,0.09708384,0.01042242,0.1102219],"study_design_scores_gemma":[0.000174498,0.001082966,0.6982286,0.0001985563,0.0002246692,0.0008676224,0.2399643,0.009644916,0.00197251,0.01292669,0.03460889,0.0001057249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858243,0.00009002452,0.0001726304,0.0009148953,0.000008365077,0.00002643724,0.00004086531,0.000008794343,0.0129136],"genre_scores_gemma":[0.9986231,0.00003405143,0.00005367198,0.0000331278,0.000002392788,0.000007404081,0.00001477939,0.000002509573,0.001228906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1555783,"threshold_uncertainty_score":0.3093454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368818769880894,"score_gpt":0.3832489360418483,"score_spread":0.3495607483430394,"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."}}