{"id":"W1777270142","doi":"10.3968/j.est.1923847920110101.002","title":"Comparison of Exergy Efficiency of Oxygen- and Air-combustion H2O Turbine Power Generation Systems","year":2011,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exergy; Combustion; Exergy efficiency; Environmental science; Combustor; Combined cycle; Electricity generation; Combustion chamber; Waste management; Process engineering; Nuclear engineering; Turbine; Engineering; Mechanical engineering; Chemistry; Power (physics); Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004440865,0.0003936287,0.0004057851,0.0007650648,0.000190942,0.0003929294,0.0003782338,0.0002865277,0.001358687],"category_scores_gemma":[0.0007316177,0.0001136194,0.0003548143,0.0006787569,0.0002142905,0.0007715038,0.000273652,0.0001439562,0.0003049539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000457878,"about_ca_system_score_gemma":0.0002179998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807981,"about_ca_topic_score_gemma":0.002055658,"domain_scores_codex":[0.9997706,0.00005047472,0.00001749169,0.00002157288,0.00009473899,0.00004507238],"domain_scores_gemma":[0.999734,0.0001291031,0.0000210554,0.00002234664,0.00007959073,0.00001379162],"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":[0.002228966,0.000329013,0.04718064,0.0007939069,0.000258614,0.0004790655,0.0001785257,0.7694286,0.05262695,0.004038338,0.001049371,0.121408],"study_design_scores_gemma":[0.0002319882,0.001730539,0.1172473,0.00003670624,0.0001467792,0.0002058809,0.0002959916,0.7709035,0.1026954,0.001780231,0.004671807,0.00005393292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835346,0.0004742228,0.008505611,0.00003864874,0.00001413151,0.00004632261,0.0002859502,0.0000924876,0.007007984],"genre_scores_gemma":[0.9987211,0.00008147242,0.0004979091,0.000002769445,0.000001835571,0.000009280546,0.00017656,0.000009261298,0.0004998793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001807981,"threshold_uncertainty_score":0.004545271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192765916614494,"score_gpt":0.2212538005015966,"score_spread":0.2093261413354517,"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."}}