{"id":"W2129029143","doi":"10.1007/s12469-012-0055-3","title":"Public road transport efficiency: a literature review via the classification scheme","year":2012,"lang":"en","type":"review","venue":"Public Transport","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Inefficiency; Data envelopment analysis; Stochastic frontier analysis; Context (archaeology); Public transport; Frontier; Computer science; Scheme (mathematics); Econometrics; Operations research; Engineering; Economics; Transport engineering; Mathematics; Geography; Microeconomics; Production (economics); Statistics","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":[0.004168096,0.002188968,0.004066125,0.02377061,0.0006158785,0.002979493,0.001769369,0.001218093,0.00745094],"category_scores_gemma":[0.01150986,0.0005203548,0.003622998,0.03510763,0.0006917201,0.003364332,0.001072858,0.001147602,0.001196536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002544931,"about_ca_system_score_gemma":0.00559382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006028163,"about_ca_topic_score_gemma":0.01032119,"domain_scores_codex":[0.9976757,0.000544628,0.0006886929,0.0003479803,0.0006356416,0.0001072518],"domain_scores_gemma":[0.9915343,0.005605278,0.001099906,0.0001578466,0.00151907,0.00008369437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001425712,0.00009993967,0.001540082,0.1998869,0.001403808,0.0001047859,0.000162424,0.002147362,0.000427029,0.01312879,0.0196329,0.7613234],"study_design_scores_gemma":[0.000157928,0.0004484462,0.01764067,0.2550174,0.01658033,0.001010266,0.001088826,0.005245423,0.00207339,0.02110151,0.6794078,0.0002280211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001015741,0.9915952,0.002840323,0.0005815105,0.0002320138,0.0001376198,0.0009802207,0.00001819378,0.002599211],"genre_scores_gemma":[0.007076799,0.9875078,0.004003547,0.0001342333,0.000146302,0.0001155014,0.0005064831,0.000006661822,0.0005026891],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02377061,"threshold_uncertainty_score":0.02492589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2536468782077675,"score_gpt":0.3984420904808735,"score_spread":0.144795212273106,"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."}}