{"id":"W4414116771","doi":"10.1016/j.aej.2025.08.056","title":"Energy, exergy, environmental, and exergoeconomic (4E) analysis of a fossil fuel power plant with carbon capture unit for a sustainable future","year":2025,"lang":"en","type":"article","venue":"Alexandria Engineering Journal","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada)","funders":"King Saud University","keywords":"Exergy; Fossil fuel; Power station; Carbon capture and storage (timeline); Combined cycle; Supercritical fluid; Thermal power station; Electricity generation; Greenhouse gas; Rankine cycle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001359004,0.000311748,0.0005526338,0.0009815157,0.00003293111,0.00007429637,0.000218515,0.0002133023,0.00002054881],"category_scores_gemma":[0.00001501734,0.0002820343,0.0001523946,0.0004349649,0.00005343591,0.0001325762,0.00005655425,0.0003079402,8.270252e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880208,"about_ca_system_score_gemma":0.00003847804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003230408,"about_ca_topic_score_gemma":0.00005076344,"domain_scores_codex":[0.9988893,0.000008008995,0.0003491047,0.0002156252,0.0001160428,0.0004218734],"domain_scores_gemma":[0.9994158,0.0000824383,0.00008577714,0.000287679,0.00003487499,0.00009348373],"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":[0.0005477974,0.0001336974,0.01059935,0.001345671,0.01517958,0.0004083122,0.002137373,0.8924224,0.04031909,0.03118043,0.003820875,0.001905435],"study_design_scores_gemma":[0.01080673,0.0007710724,0.06359544,0.0008324755,0.009467773,0.0009849301,0.01493735,0.7216589,0.01996746,0.001483383,0.1518855,0.003608879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962108,0.02026932,0.01585474,0.0001061555,0.0003218981,0.0002218588,0.00006145978,0.0002960171,0.0007605169],"genre_scores_gemma":[0.9973512,0.0009846062,0.001203703,0.00001317772,0.00005847979,0.00003886998,0.00001374482,0.00004555914,0.0002906368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1707634,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002110395268703457,"score_gpt":0.1591576472651035,"score_spread":0.1570472519964,"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."}}