{"id":"W32770254","doi":"10.1007/978-1-4614-2242-6_5","title":"Efficiencies of Power Plants","year":2012,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in energy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Cogeneration; Geothermal power; Process engineering; Power (physics); Exergy efficiency; Energy (signal processing); Geothermal energy; Power station; Geothermal gradient; Second law of thermodynamics; Environmental science; Thermodynamics; Electricity generation; Engineering; Mathematics; Physics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002657622,0.0004392547,0.0007269953,0.0002902377,0.00003592241,0.00001259412,0.0004366496,0.0005641971,0.001762115],"category_scores_gemma":[0.00002786678,0.0004151336,0.0002254108,0.00005218087,0.0001548903,0.00006350894,0.0001663882,0.0002808137,0.0001435438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107491,"about_ca_system_score_gemma":0.00005776038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005421918,"about_ca_topic_score_gemma":0.001006029,"domain_scores_codex":[0.997986,0.0000354684,0.0006767087,0.0003823744,0.0004463372,0.000473113],"domain_scores_gemma":[0.9985798,0.0001274863,0.0004750605,0.0006448277,0.00005239797,0.0001204213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000812471,0.00006642203,0.0003984417,0.00009668587,0.0001396652,0.00005455472,0.0006459587,0.000727419,0.005132756,0.9733849,0.0002987341,0.01897327],"study_design_scores_gemma":[0.0003045198,0.00005371493,0.0005266954,0.0004780374,0.00002003242,0.0000254315,0.00002266261,0.00001732227,0.01071674,0.00655562,0.9807622,0.0005170451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009910301,0.01092943,0.00003565251,0.000005864684,0.001377685,0.00008833173,0.00003720093,0.00008335491,0.9775322],"genre_scores_gemma":[0.7438879,0.0005901286,0.00004744308,0.00009824472,0.0004519486,0.00001583041,0.00002893848,0.000130212,0.2547494],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9804634,"threshold_uncertainty_score":0.9998301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680221584209407,"score_gpt":0.2054447037865988,"score_spread":0.1886424879445048,"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."}}