{"id":"W2851112461","doi":"10.1080/01441647.2018.1492778","title":"Accessibility: measurement and application in transportation planning","year":2018,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transport engineering; Transportation planning; Public transport; Business; Engineering; Operations management","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":[0.002795339,0.0001433098,0.0003255534,0.00007072937,0.0002374315,0.00002192395,0.0001983908,0.00009698671,0.0001289239],"category_scores_gemma":[0.0000244658,0.0001296209,0.00007038433,0.0004409723,0.0003167071,0.0004216651,0.000001360722,0.0001239106,0.0000167601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008580792,"about_ca_system_score_gemma":0.00009629254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369148,"about_ca_topic_score_gemma":0.06409626,"domain_scores_codex":[0.9981718,0.0001035,0.0006278256,0.0004346523,0.0003839773,0.0002782173],"domain_scores_gemma":[0.9994022,0.00001449721,0.000139905,0.0002273284,0.00009983823,0.0001162729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002394455,0.00005780772,0.946987,0.0001060877,0.000003135217,0.000001875244,0.009029716,4.875122e-7,0.0001871981,0.0004520871,0.00002463994,0.04312604],"study_design_scores_gemma":[0.0002103685,0.00001779136,0.8821155,0.0001346523,0.0000279062,4.149963e-8,0.0002214342,0.00000735432,0.00007952501,0.0009092446,0.1161322,0.0001439913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777643,0.006299599,0.00747992,0.0003115632,0.0001140064,0.001330844,0.000006108924,0.00008410116,0.006609537],"genre_scores_gemma":[0.9981694,0.0009127205,0.0004414831,0.0001266318,0.0001589834,0.0001056398,0.00002397284,0.00000917345,0.00005205738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1161076,"threshold_uncertainty_score":0.9529815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08717523324565704,"score_gpt":0.3710805184429413,"score_spread":0.2839052851972843,"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."}}