{"id":"W3197539425","doi":"10.1016/j.enconman.2021.114619","title":"Exergetic, exergoeconomic and exergoenvironmental analyses of a hybrid combined locomotive powering system for rail transportation","year":2021,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Exergy; Waste management; Natural gas; Capital cost; Combustion; Engineering; Environmental science; Exergy efficiency; Dimethyl ether; Process engineering; Environmental engineering; Methanol; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005577551,0.0001400331,0.0002610449,0.00007585444,0.00005486963,0.0000153182,0.00005061621,0.00002618512,0.0000281479],"category_scores_gemma":[6.212729e-7,0.0001463118,0.00007952276,0.00004223308,0.00003520897,0.00005850533,0.00002041652,0.00002326397,0.000001119497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004055911,"about_ca_system_score_gemma":0.000003667547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005016065,"about_ca_topic_score_gemma":0.000008306944,"domain_scores_codex":[0.999331,0.00001309294,0.0002458197,0.0002015729,0.00007276926,0.0001357752],"domain_scores_gemma":[0.9997366,0.00001863134,0.0000490814,0.0001174499,0.00001423141,0.00006401888],"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":[0.00251911,0.001039238,0.004528776,0.03411013,0.01483038,0.0009251517,0.007196048,0.3447357,0.2486409,0.2219773,0.0124477,0.1070496],"study_design_scores_gemma":[0.01346281,0.0004512447,0.01104234,0.001254925,0.001944253,0.00005102535,0.02918968,0.6110122,0.3015888,0.0005739382,0.02752441,0.001904381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8522079,0.002201122,0.1429961,0.00002718134,0.0004739933,0.0001854819,0.0000374637,0.00009952401,0.001771286],"genre_scores_gemma":[0.9972715,0.00171871,0.0003167955,0.00001650702,0.00001330924,0.000023557,0.00007798189,0.00001767195,0.0005439324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2662765,"threshold_uncertainty_score":0.5966421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006176005751934686,"score_gpt":0.1975459171345717,"score_spread":0.191369911382637,"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."}}