{"id":"W4249857654","doi":"10.1016/b978-0-12-824372-5.00002-6","title":"Exergy and energy analyses","year":2020,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Exergy efficiency; Second law of thermodynamics; Entropy (arrow of time); Process engineering; Thermodynamics; Energy analysis; Laws of thermodynamics; Computer science; Energy (signal processing); Environmental science; 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"],"consensus_categories":[],"category_scores_codex":[0.00003880942,0.0004292256,0.0006487769,0.0001082871,0.000054899,0.00004528926,0.0001841217,0.0002683591,0.0001279627],"category_scores_gemma":[0.00000227044,0.0004020414,0.0002293328,0.00001174162,0.00007246615,0.00002206163,0.00005748887,0.0002328113,0.00006655503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003398729,"about_ca_system_score_gemma":0.00002076087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002910435,"about_ca_topic_score_gemma":0.00001740325,"domain_scores_codex":[0.9989159,0.000008508159,0.0003624932,0.0003157792,0.0001846195,0.0002127736],"domain_scores_gemma":[0.9994092,0.00002229382,0.00006560894,0.0002924226,0.0000273086,0.0001831441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000630057,0.000001196293,4.54518e-7,0.0001409778,0.0005203177,0.00004251078,0.0001097909,0.0001273451,0.0001675511,0.02029344,0.0006101492,0.97798],"study_design_scores_gemma":[0.00010987,0.00002348674,0.000001501481,0.0001932864,0.0002682822,0.00001611927,0.00001583157,0.003608405,0.00002913511,0.006260659,0.9889782,0.0004952144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000008834378,0.01189941,0.0007086211,0.00001396051,0.0003567535,0.00004200514,0.00002464435,0.0002780265,0.9866678],"genre_scores_gemma":[0.06137192,0.0009985943,0.00006513704,0.0001290892,0.0004286021,0.00001037248,0.00003282537,0.0001332162,0.9368302],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.988368,"threshold_uncertainty_score":0.9998431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014866240588254,"score_gpt":0.2257970155871223,"score_spread":0.2109307749988683,"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."}}