{"id":"W4295858045","doi":"10.2139/ssrn.4200501","title":"Fairness in Accessibility of Public Service Facilities","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Public service; Service (business); Public administration; Public relations; Transport engineering; Process management; Marketing; Engineering; Political science","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":[0.009026006,0.0002132396,0.001079966,0.001460251,0.002402232,0.004973066,0.001213033,0.002052763,0.01186803],"category_scores_gemma":[0.04699049,0.0003178174,0.0007618839,0.001839605,0.003943014,0.003979408,0.003192947,0.001936593,0.0004460202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003661224,"about_ca_system_score_gemma":0.003038784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018007,"about_ca_topic_score_gemma":0.01510686,"domain_scores_codex":[0.9859667,0.007852104,0.0005186236,0.001084823,0.001578723,0.002999004],"domain_scores_gemma":[0.9503841,0.03538911,0.004235146,0.003782785,0.003744362,0.002464449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008201189,0.0002509754,0.04780845,0.0001100081,0.0001510546,0.000356883,0.004665953,0.01236797,0.0003835186,0.9027081,0.003525171,0.02685184],"study_design_scores_gemma":[0.0001117443,0.0001463911,0.03578428,0.00006511324,0.00007818688,0.0001637193,0.004286223,0.0117737,0.0002813889,0.9404411,0.006832761,0.0000353781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.731778,0.0009027374,0.03174736,0.009065053,0.0001964319,0.00008956349,0.0003931923,0.00005544992,0.2257722],"genre_scores_gemma":[0.9975204,0.00004754087,0.0002554187,0.00008007736,0.00004549032,0.00001015153,0.00001386686,0.000005244892,0.002021652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.018007,"threshold_uncertainty_score":0.04773468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968246579337985,"score_gpt":0.2946071547392886,"score_spread":0.2649246889459088,"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."}}