{"id":"W2792450897","doi":"","title":"The sources of efficiency change in the Canadian urban transit systems : a data envelopment analysis (DEA) approach","year":2002,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Transit (satellite); Regional science; Transport engineering; Operations research; Computer science; Business; Geography; Engineering; Statistics; Mathematics; Public transport","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009184804,0.000109833,0.0002360489,0.0004138102,0.001023028,0.00005844894,0.00110296,0.0001796953,0.000005084244],"category_scores_gemma":[0.00001786375,0.00009870393,0.00008317017,0.001235794,0.000147074,0.0001473153,0.000006675488,0.000161264,0.000001840758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140302,"about_ca_system_score_gemma":0.0002602465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8092787,"about_ca_topic_score_gemma":0.9990678,"domain_scores_codex":[0.998565,0.0002515127,0.0001390689,0.0002419131,0.0005847713,0.0002177431],"domain_scores_gemma":[0.9991212,0.00009133305,0.0002742255,0.0003355884,0.0001149532,0.00006262161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007682668,0.0002185095,0.2883669,0.000306682,0.0007306682,0.000033074,0.6819248,0.01742059,0.000001206086,0.006320244,0.002306222,0.002294349],"study_design_scores_gemma":[0.0001426506,0.0000140242,0.5018128,0.00005460129,0.0005102328,1.441473e-7,0.47173,0.01015543,2.975917e-7,0.000001888156,0.01543604,0.0001419581],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8940495,0.005011694,0.001890117,0.00382969,0.0008008568,0.003051869,0.0008351286,0.00008834591,0.09044285],"genre_scores_gemma":[0.9969344,0.0005114173,0.0001117218,0.000007194881,0.00002995,0.000001556041,0.001277934,0.000005693903,0.001120194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2134459,"threshold_uncertainty_score":0.7868408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04373097362964748,"score_gpt":0.2350212906936825,"score_spread":0.191290317064035,"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."}}