{"id":"W4405531428","doi":"10.1016/j.tranpol.2024.12.012","title":"The WCTRS global subway efficiency benchmarking task force inaugural report: The key findings, lessons learned, policy issues investigated","year":2024,"lang":"en","type":"article","venue":"Transport Policy","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Benchmarking; Task force; Key (lock); Task (project management); Political science; Engineering; Transport engineering; Engineering management; Computer science; Public administration; Business; Marketing; Computer security; Systems 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":[0.04815772,0.001387542,0.001186463,0.004539009,0.001515494,0.007184847,0.002666488,0.002544167,0.005766498],"category_scores_gemma":[0.04789554,0.0004440399,0.001031421,0.007166489,0.001304194,0.004020412,0.003556382,0.004312664,0.002160314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007808405,"about_ca_system_score_gemma":0.03018358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1034803,"about_ca_topic_score_gemma":0.05604239,"domain_scores_codex":[0.9773661,0.008578056,0.001252217,0.001319762,0.008470491,0.003013325],"domain_scores_gemma":[0.9450575,0.0098466,0.003790921,0.003506259,0.03325277,0.004546048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004638068,0.0005846561,0.0650222,0.00362414,0.0001669246,0.0004509962,0.003760335,0.008724267,0.004536769,0.0467969,0.576799,0.28907],"study_design_scores_gemma":[0.00008982232,0.001095398,0.1892547,0.008380413,0.000153276,0.0002672373,0.01410025,0.01017277,0.005251754,0.0114834,0.7593961,0.0003549721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1414921,0.06265075,0.07570068,0.4104338,0.02068151,0.004192982,0.08190721,0.002867553,0.2000734],"genre_scores_gemma":[0.6768152,0.03173084,0.09294122,0.0391654,0.003704611,0.00670749,0.08501748,0.002027306,0.06189048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1034803,"threshold_uncertainty_score":0.2546854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07412481885993022,"score_gpt":0.416483765492997,"score_spread":0.3423589466330668,"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."}}