{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002423397,0.0003035727,0.0006230459,0.0001931638,0.0001814593,0.00002659496,0.000568631,0.0003642703,0.001697016],"category_scores_gemma":[0.005169233,0.0002715484,0.0003050056,0.001740538,0.000812984,0.0004957656,0.0003691881,0.0005339709,0.00001135044],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004148695,"about_ca_system_score_gemma":0.0004596031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01283487,"about_ca_topic_score_gemma":0.004428481,"domain_scores_codex":[0.9963381,0.0004647163,0.0008114957,0.0009214067,0.0005051053,0.000959151],"domain_scores_gemma":[0.9978037,0.0003980952,0.0002310124,0.0009889773,0.0003112356,0.0002669851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001226223,0.001075978,0.9494317,0.0002492101,0.00001420236,0.00004175297,0.0006496249,0.0006260153,0.001229849,0.04259723,0.0001687334,0.003793126],"study_design_scores_gemma":[0.0005016583,0.0002260431,0.7077768,0.000002207151,0.00002059372,0.000002973908,0.001907057,0.001146097,0.001548113,0.2827731,0.003793971,0.0003013301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952686,0.00004100505,0.0001054028,0.001455407,0.0001216019,0.0007054011,0.000003242942,0.0000662446,0.002233132],"genre_scores_gemma":[0.999306,0.000005541131,0.00003265691,0.0000896245,0.00006725908,0.00008812683,0.000005599551,0.00001457153,0.0003906178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2416548,"threshold_uncertainty_score":0.9999737,"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."}}