{"id":"W2802920712","doi":"10.1139/tcsme-2000-0022","title":"THERMODYNAMIC COMPARISON OF COAL-FIRED AND NUCLEAR ELECTRICAL GENERATING STATIONS","year":2000,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exergy; Environmental science; Coal; Nuclear engineering; Exergy efficiency; Waste management; Combustion; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00007599583,0.0001054282,0.000177578,0.00004018309,0.0001385827,0.00001262044,0.0001109087,0.00013165,0.00004533827],"category_scores_gemma":[0.000008644888,0.0001014299,0.0001792388,0.0002175891,0.00002176024,0.0000583469,0.000001142973,0.0001627353,3.662794e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849138,"about_ca_system_score_gemma":0.00004671848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003242113,"about_ca_topic_score_gemma":0.006503335,"domain_scores_codex":[0.9993606,0.000007869983,0.0002664076,0.00008901388,0.00008543434,0.0001906259],"domain_scores_gemma":[0.9996682,0.00004699841,0.00002436821,0.0001310388,0.0000409448,0.00008838897],"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":[0.000001702286,0.000006134462,9.200089e-7,0.0000456706,0.00008838753,2.310544e-8,0.0003673554,0.977854,0.01816637,0.001592472,0.00004654939,0.001830393],"study_design_scores_gemma":[0.0001608418,0.00002281093,0.00001407218,0.00003081671,0.00004824412,0.000002107885,0.00008479584,0.994635,0.004449806,0.00002004898,0.0004375716,0.00009386187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2487779,0.0002113418,0.7496459,0.0001043101,0.0002577028,0.0004405611,0.0001690391,0.0001712915,0.000221975],"genre_scores_gemma":[0.9831178,0.0000219771,0.01672761,0.00001172586,0.00001439008,0.00001933739,0.000007461277,0.0000399756,0.00003978961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7343399,"threshold_uncertainty_score":0.4901127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006477119865638019,"score_gpt":0.1910421962615035,"score_spread":0.1845650763958654,"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."}}