{"id":"W2606037979","doi":"","title":"How to Get There? A Critical Assessment of Accessibility Objectives and Indicators in Metropolitan Transportation Plans","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Metropolitan area; Transportation planning; Destinations; Business; Environmental planning; Process (computing); Transport engineering; Order (exchange); Land-use planning; Land use; Computer science; Geography; Engineering; Tourism; Civil engineering; Finance","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":[0.05554251,0.00106114,0.001001871,0.00989314,0.002173349,0.01046506,0.001941051,0.001548187,0.001981006],"category_scores_gemma":[0.1756813,0.0006585029,0.000863173,0.007476765,0.005822736,0.01099059,0.003523705,0.004916108,0.000136751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0156909,"about_ca_system_score_gemma":0.01348346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02696615,"about_ca_topic_score_gemma":0.03587779,"domain_scores_codex":[0.9706286,0.01920035,0.001877673,0.0009113307,0.006416208,0.0009657918],"domain_scores_gemma":[0.8331881,0.1140163,0.007838005,0.003169143,0.03963684,0.002151467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007344813,0.0002855888,0.09576955,0.003095991,0.0005326771,0.0002995612,0.02474419,0.02266914,0.0007484871,0.4914664,0.03316893,0.3264849],"study_design_scores_gemma":[0.0001107615,0.001284433,0.1680579,0.008468872,0.001176029,0.000328395,0.1129868,0.05969995,0.004433518,0.5297076,0.1133524,0.000393134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.608439,0.0376782,0.08969856,0.1351034,0.00173133,0.001998512,0.003097409,0.0002341857,0.1220194],"genre_scores_gemma":[0.9736295,0.00293002,0.02095892,0.0007267518,0.0002613977,0.000213903,0.0001987883,0.00004438883,0.001036358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05554251,"threshold_uncertainty_score":0.2937404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739171581941206,"score_gpt":0.4085440027716804,"score_spread":0.3711522869522683,"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."}}