{"id":"W4313116823","doi":"10.2139/ssrn.4291169","title":"Restructuring Chinese Railways from a Cost-Efficient Perspective---A Hedonic Cost Function Analysis","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Restructuring; Perspective (graphical); Function (biology); Cost analysis; Business; Industrial organization; Economics; Operations management; Environmental economics; Operations research; Engineering; Computer science; 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":[0.001409185,0.000903994,0.0007525574,0.002308106,0.0008698936,0.003991508,0.001277931,0.001462727,0.005238432],"category_scores_gemma":[0.002223896,0.0004815379,0.00116451,0.002850372,0.0009521687,0.004249179,0.0009537757,0.0007480098,0.0002467287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006991791,"about_ca_system_score_gemma":0.003745931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03238646,"about_ca_topic_score_gemma":0.03211295,"domain_scores_codex":[0.9990984,0.0002348644,0.00003930491,0.0001144585,0.000266746,0.0002461331],"domain_scores_gemma":[0.9993346,0.000185658,0.00009894784,0.00007161195,0.0002506239,0.00005848327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001820651,0.0001694029,0.01378323,0.0002932188,0.0002043669,0.0004793748,0.0003747608,0.7185966,0.003469306,0.2014364,0.003096644,0.05791473],"study_design_scores_gemma":[0.00006272918,0.0002739843,0.03827627,0.00009825589,0.000494868,0.000171284,0.001880931,0.8604766,0.002044888,0.08511388,0.01099841,0.0001079689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7853636,0.00284369,0.1172413,0.002975611,0.0001554092,0.0004116798,0.0009428268,0.000137612,0.08992829],"genre_scores_gemma":[0.9909718,0.0005259766,0.002280188,0.00004075418,0.00003223995,0.00004230081,0.0001537333,0.00002035849,0.005932601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238646,"threshold_uncertainty_score":0.0643959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008439117487320019,"score_gpt":0.2118675400193898,"score_spread":0.2034284225320697,"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."}}