{"id":"W7037419690","doi":"","title":"Eficiencia del transporte férreo de carga Internacional:
\\nUn análisis a través de la envolvente de datos
\\n(Efficiency of railways international freight:
\\nan analysis with data envelopment)","year":2014,"lang":"en","type":"article","venue":"El Repositorio Academico Digital de la UANL (Universidad Autónoma de Nuevo León)","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Benchmarking; Product (mathematics); Economic efficiency; Scale (ratio); Value (mathematics)","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":[0.002258768,0.0004851207,0.0007037077,0.0006361212,0.0007110701,0.0006160642,0.00245946,0.0006453412,0.00005990926],"category_scores_gemma":[0.0003806756,0.0005024754,0.0003862423,0.001284844,0.001209813,0.002014739,0.0002763938,0.0009193312,0.00001325348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032615,"about_ca_system_score_gemma":0.001202629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003540526,"about_ca_topic_score_gemma":0.0009727544,"domain_scores_codex":[0.9955602,0.0005541568,0.0006340328,0.0009593453,0.001143585,0.001148712],"domain_scores_gemma":[0.9973249,0.0006695351,0.0005658767,0.0006599827,0.0002026807,0.0005770431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002772495,0.0003686401,0.8979598,0.00003911402,0.001425057,0.0002494768,0.08336627,0.0004444816,0.001947654,0.006296697,0.0005055377,0.007119974],"study_design_scores_gemma":[0.003127981,0.0002671151,0.7648175,0.0005719489,0.001978713,0.0003848275,0.1175075,0.01370047,0.001633326,0.002898575,0.09124192,0.001870089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006573,0.0004896737,0.02878367,0.00041069,0.0002618394,0.0002155242,0.0003393079,0.0001607947,0.06868123],"genre_scores_gemma":[0.9964408,0.0003411205,0.001524447,0.0001006536,0.0003938865,0.00001079064,0.0001602641,0.00004487018,0.0009831598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1331423,"threshold_uncertainty_score":0.9997427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009446214784056006,"score_gpt":0.2663359000911336,"score_spread":0.2568896853070776,"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."}}