{"id":"W2100148587","doi":"10.1115/1.3185348","title":"Exergetic Performance Analysis of a Gas Turbine Cycle Integrated With Solid Oxide Fuel Cells","year":2009,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exergy; Solid oxide fuel cell; Natural gas; Combined cycle; Exergy efficiency; Process engineering; Stack (abstract data type); Electricity generation; Steam reforming; Combustion; Environmental science; Waste management; Anode; Nuclear engineering; Turbine; Engineering; Hydrogen production; Mechanical engineering; Chemistry; Power (physics); Hydrogen; Thermodynamics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000375556,0.0002643763,0.0009315136,0.00161376,0.00006631514,0.00002560297,0.0008986521,0.0002055283,0.0002074939],"category_scores_gemma":[0.00006887214,0.0001891081,0.0001605806,0.002355474,0.0004046659,0.0002271632,0.00008856199,0.0003030196,0.000005587688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009771935,"about_ca_system_score_gemma":0.00006134023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001713841,"about_ca_topic_score_gemma":0.00002379726,"domain_scores_codex":[0.9977205,0.00006522061,0.0009922177,0.0002865274,0.0004905684,0.0004449272],"domain_scores_gemma":[0.9974619,0.00006446028,0.001396878,0.0005268023,0.0004467873,0.0001031704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004340507,0.0002510136,0.001362809,0.0000214069,0.0003073325,0.00008702371,0.0001679583,0.08209199,0.911422,0.0002565985,0.00008300708,0.003514786],"study_design_scores_gemma":[0.0008219577,0.001830029,0.0009325923,0.0001449422,0.0006589149,0.0001461035,0.0003919149,0.002674457,0.9825207,0.00107162,0.008532251,0.0002745244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941764,0.0008899168,0.003708604,0.0002464124,0.0001040704,0.00004585179,0.00000599178,0.0000619448,0.0007607577],"genre_scores_gemma":[0.9838428,0.0005008026,0.01517791,0.0001248901,0.00004206351,0.000002750397,0.000002066281,0.00001983487,0.0002868893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07941754,"threshold_uncertainty_score":0.7711603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004471716532404666,"score_gpt":0.2242293283774483,"score_spread":0.2197576118450436,"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."}}