{"id":"W1752161197","doi":"10.3390/su70912236","title":"Comparative Exergoeconomic Analyses of Gas Turbine Steam Injection Cycles with and without Fogging Inlet Cooling","year":2015,"lang":"en","type":"article","venue":"Sustainability","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Fogging; Exergy; Combined cycle; Exergy efficiency; Heat recovery steam generator; Nuclear engineering; Environmental science; Thermal efficiency; Steam-electric power station; Steam injection; Combustion chamber; Turbine; Waste management; Combustion; Engineering; Thermal power station; Materials science; Mechanical engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004313021,0.000543436,0.0007920457,0.002413613,0.0003625624,0.0005171874,0.0004746735,0.0002981568,0.002708978],"category_scores_gemma":[0.001202168,0.000289397,0.00106297,0.002333813,0.0005018871,0.0006217142,0.0002872112,0.0003431786,0.0002132073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011587,"about_ca_system_score_gemma":0.0004078138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004416749,"about_ca_topic_score_gemma":0.009067634,"domain_scores_codex":[0.9997671,0.00004618308,0.00001402402,0.00002495461,0.0001038862,0.00004372909],"domain_scores_gemma":[0.9993585,0.0004124937,0.0000432138,0.00002765897,0.0001344726,0.0000235767],"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":[0.002329746,0.0003476813,0.03899935,0.001096558,0.0004327946,0.0006372249,0.0001509148,0.8490603,0.06206255,0.004807272,0.0006199059,0.03945564],"study_design_scores_gemma":[0.0001725022,0.00191898,0.2175645,0.00006705372,0.000485723,0.0003365229,0.0006104248,0.5975611,0.1692545,0.006392358,0.005511831,0.0001245859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887758,0.0004537052,0.003520188,0.00002248626,0.00000854109,0.00008412865,0.001433579,0.00002947639,0.005672089],"genre_scores_gemma":[0.9967391,0.0002203081,0.0007658116,0.000003778137,0.000003721344,0.00004513345,0.0009937866,0.00001784826,0.001210574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004416749,"threshold_uncertainty_score":0.009062409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086168494428461,"score_gpt":0.2901162926124872,"score_spread":0.2692546076682025,"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."}}