{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001879608,0.0007219783,0.000799656,0.0006731616,0.0003291555,0.0004054112,0.0004885431,0.0004403436,0.001909134],"category_scores_gemma":[0.0001992547,0.0001502893,0.0006068968,0.0009645485,0.0002460167,0.0003165054,0.0002483549,0.0003554337,0.0003098303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005421067,"about_ca_system_score_gemma":0.0002188246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004136338,"about_ca_topic_score_gemma":0.003838766,"domain_scores_codex":[0.9998746,0.00001158358,0.000006841175,0.00002135647,0.00006229374,0.00002329073],"domain_scores_gemma":[0.9999013,0.00003199795,0.000008233849,0.000009011674,0.00004045024,0.000009066326],"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":[0.00367228,0.0006599978,0.02220392,0.0006878505,0.0002812115,0.0005939105,0.0001156942,0.301185,0.6253579,0.0006259022,0.0004771604,0.04413921],"study_design_scores_gemma":[0.00009928367,0.004032689,0.09017408,0.00003851179,0.0002006393,0.0002505887,0.0001506631,0.3962511,0.5056838,0.0005961317,0.002442407,0.00008021128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953977,0.0003544553,0.002153704,0.00001004053,0.000008907326,0.00002158685,0.0004159988,0.00004735423,0.001590115],"genre_scores_gemma":[0.9981779,0.0001639024,0.0006389778,0.000003795647,0.000002036241,0.00001194839,0.0003649443,0.00001408711,0.0006224125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004136338,"threshold_uncertainty_score":0.008224487,"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."}}