{"id":"W2761588273","doi":"10.5539/ibr.v10n11p117","title":"Measuring Performance in Rail Freight Transportation Companies","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balanced scorecard; Performance measurement; Order (exchange); Performance indicator; Process management; Performance management; Business; Strategic management; Computer science; Transport engineering; Operations management; Marketing; Engineering; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003113836,0.0001010425,0.0001867914,0.0007899257,0.0007221142,0.0009670673,0.001969041,0.00003941023,0.0003973173],"category_scores_gemma":[0.002521217,0.00007813321,0.00003785922,0.0005549179,0.0002952608,0.001419883,0.0002744806,0.0001936394,0.0003060726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007452038,"about_ca_system_score_gemma":0.0000524123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007322595,"about_ca_topic_score_gemma":0.001055821,"domain_scores_codex":[0.9960784,0.00006465099,0.0004146231,0.0003925343,0.002764553,0.0002852759],"domain_scores_gemma":[0.9964722,0.0003060469,0.0001533628,0.0005386464,0.002494394,0.00003537981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001129916,0.0001035684,0.9355483,0.00002447131,0.00002657192,0.00003957896,0.000424654,0.001373796,0.0001543074,0.004729516,0.001566848,0.05589541],"study_design_scores_gemma":[0.0004160346,0.000005737651,0.9637911,0.000072492,0.00000120631,6.80213e-7,0.0002116671,0.002136918,0.00009697075,0.004332341,0.02884892,0.00008593885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315886,0.00008881609,0.001447006,0.01324016,0.001121164,0.0002025822,0.00001217526,0.000020628,0.05227889],"genre_scores_gemma":[0.9959059,0.0002540522,0.0001236168,0.00003049583,0.0001345574,0.00004561887,0.000008330098,0.000008472258,0.00348895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06431733,"threshold_uncertainty_score":0.9325452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4708383685923227,"score_gpt":0.4720162275388579,"score_spread":0.001177858946535215,"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."}}