{"id":"W2179205114","doi":"10.1115/es2007-36259","title":"Exergetic Performance Analysis of a Gas Turbine Cycle Integrated With Solid Oxide Fuel Cells","year":2007,"lang":"en","type":"article","venue":"ASME 2007 Energy Sustainability Conference","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Combined cycle; Exergy; Solid oxide fuel cell; Natural gas; Stack (abstract data type); Exergy efficiency; Nuclear engineering; Process engineering; Combustion; Electricity generation; Turbine; Environmental science; Anode; Materials science; Engineering; Waste management; Mechanical engineering; Power (physics); Thermodynamics; Chemistry; Computer science","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":[0.0001663067,0.0006357405,0.0007550807,0.0006659282,0.000280888,0.0003910535,0.0003410836,0.0003631857,0.001368379],"category_scores_gemma":[0.0002581816,0.0001388293,0.0005305553,0.0006729413,0.000250553,0.0003438893,0.0002275273,0.0002554393,0.0002237316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849799,"about_ca_system_score_gemma":0.00024419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003313234,"about_ca_topic_score_gemma":0.003139181,"domain_scores_codex":[0.9998896,0.000009408668,0.000005327495,0.00001668195,0.00005961094,0.00001937073],"domain_scores_gemma":[0.9999067,0.00003365699,0.000007756332,0.000008239431,0.00003600003,0.000007670128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00198882,0.0004215781,0.01741628,0.0003355064,0.0002238645,0.0005050723,0.00009884701,0.4390155,0.4970431,0.0008469968,0.0002699945,0.04183445],"study_design_scores_gemma":[0.00004685431,0.002241397,0.05390163,0.00001952176,0.0001326531,0.0002088676,0.0001044861,0.6163049,0.3248722,0.0005439906,0.001573333,0.0000501625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938624,0.0002007239,0.004228821,0.000009480646,0.000006152564,0.00001517939,0.0001548609,0.00004018113,0.001482268],"genre_scores_gemma":[0.9982331,0.000105058,0.0008169767,0.000002855253,0.000001718819,0.000008416411,0.0001847229,0.00001394523,0.0006331934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003313234,"threshold_uncertainty_score":0.006587923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00693833577606831,"score_gpt":0.2487469028036944,"score_spread":0.2418085670276261,"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."}}