{"id":"W625333592","doi":"","title":"Challenges and Strategies in Benchmarking Intercity Passenger Rail Performance","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Transport engineering; Public transport; Performance indicator; Passenger transport; Performance measurement; Service (business); Government (linguistics); Task (project management); Business; Engineering; Marketing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005657464,0.0004498176,0.0005765812,0.002264043,0.0006033276,0.0003093678,0.0006466481,0.0003046184,0.0005477555],"category_scores_gemma":[0.0001152079,0.0004645248,0.0001364317,0.001286716,0.0008995626,0.004405741,0.00003067526,0.001504769,0.0001485052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059336,"about_ca_system_score_gemma":0.0002415159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02762851,"about_ca_topic_score_gemma":0.1254846,"domain_scores_codex":[0.9942949,0.0001721748,0.001147656,0.001107801,0.001520632,0.001756822],"domain_scores_gemma":[0.9976112,0.0003125693,0.0002128207,0.0004525922,0.001215693,0.0001951174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002314458,0.0007073312,0.7800008,0.003365878,0.0001227094,0.0003522502,0.05441739,0.0003350666,0.0006881405,0.10128,0.0009986998,0.05541728],"study_design_scores_gemma":[0.001113532,0.0001529125,0.9558424,0.0003607391,0.00002101246,4.665208e-7,0.02573018,0.000389326,0.0001589395,0.004444238,0.01131352,0.0004726906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636706,0.0006234331,0.00004270015,0.000847053,0.0002024188,0.0009492389,0.00003273235,0.0002008961,0.03343099],"genre_scores_gemma":[0.9955514,0.002575209,0.0005319379,0.0001382443,0.0004720424,0.0003374344,0.0001382572,0.00008305046,0.0001723907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1758417,"threshold_uncertainty_score":0.9997807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1244145136106058,"score_gpt":0.3276797431712232,"score_spread":0.2032652295606173,"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."}}