{"id":"W2023515977","doi":"10.3390/su2051389","title":"Some Sustainability Aspects of Energy Conversion in Urban Electric Trains","year":2010,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exergy; Sustainability; Train; Electricity; Efficient energy use; Energy transformation; Exergy efficiency; Environmental science; Environmental economics; Energy consumption; Transport engineering; Engineering; Automotive engineering; Process engineering; Ecology; Economics; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002330003,0.0002922631,0.0001590941,0.0006575531,0.0003982751,0.0008320834,0.0002149619,0.0002667992,0.002436678],"category_scores_gemma":[0.0003889268,0.0001130126,0.0002863418,0.0008722362,0.0005691664,0.0007081747,0.0004460028,0.0001896371,0.0001866469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008140179,"about_ca_system_score_gemma":0.000202669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002123111,"about_ca_topic_score_gemma":0.001851408,"domain_scores_codex":[0.9998388,0.00005112621,0.000006650817,0.00002098626,0.00004925648,0.00003310031],"domain_scores_gemma":[0.9999104,0.00003822729,0.00001685499,0.00000686358,0.00002257413,0.000005178052],"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":[0.0004628113,0.0003723318,0.07312541,0.0008644664,0.00009059457,0.003512203,0.002209325,0.5077361,0.09270096,0.1613782,0.001526145,0.1560215],"study_design_scores_gemma":[0.00004098934,0.0006738302,0.1436723,0.0002486742,0.0001429007,0.001784752,0.01069541,0.4222537,0.1526061,0.2050695,0.06268229,0.0001297125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908792,0.002133244,0.04157197,0.0003067072,0.00002161389,0.00005867532,0.0001651325,0.00007196163,0.06479142],"genre_scores_gemma":[0.9936435,0.0005754675,0.001411867,0.00001227048,0.000004144842,0.00001476035,0.00005669551,0.00001127729,0.004269889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002436678,"threshold_uncertainty_score":0.008151472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004007719135035802,"score_gpt":0.2118916035826701,"score_spread":0.2078838844476343,"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."}}