{"id":"W621587556","doi":"","title":"COMMUNICATIONS BASED TRAIN CONTROL MAJOR CONTRIBUTOR TO ENERGY EFFICIENCY","year":2011,"lang":"en","type":"article","venue":"CONGRESS - DUBAI 2011","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Control (management); Energy (signal processing); Efficient energy use; Transport engineering; Presentation (obstetrics); Power (physics); Energy conservation; Mass transportation; Computer science; Telecommunications; Engineering; Environmental economics; Electrical engineering; Economics","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":[0.0002883493,0.0002810322,0.0003704297,0.000191806,0.0001767987,0.00004594177,0.000937906,0.0001474549,0.0007168858],"category_scores_gemma":[0.00005393715,0.0002662654,0.0001245518,0.0002177881,0.000123532,0.0001111574,0.00005685658,0.0001397084,0.000378668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006572577,"about_ca_system_score_gemma":0.0000501256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006322419,"about_ca_topic_score_gemma":0.0002523745,"domain_scores_codex":[0.9984303,0.0000916639,0.0004478846,0.0002790646,0.0002013467,0.0005497026],"domain_scores_gemma":[0.9981334,0.000123685,0.00006454081,0.001222772,0.0001453737,0.0003102713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007892965,0.004129961,0.01013969,0.0006879825,0.001680489,0.0004160509,0.01235912,0.1022871,0.09366819,0.394116,0.2660979,0.1136282],"study_design_scores_gemma":[0.005895963,0.0005063309,0.006668354,0.0002461017,0.000176419,0.00002730144,0.0002630774,0.4911155,0.02005383,0.0002130394,0.4728556,0.00197847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1349659,0.01071334,0.6214581,0.001151493,0.009640625,0.001955328,0.0009669351,0.00369287,0.2154555],"genre_scores_gemma":[0.9973764,0.00002051776,0.0008616805,0.0003130479,0.00009349379,0.0002226585,0.00002341799,0.00006024159,0.001028537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8624105,"threshold_uncertainty_score":0.999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889720615301461,"score_gpt":0.207423398476942,"score_spread":0.1885261923239274,"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."}}