{"id":"W4410202479","doi":"10.1016/b978-0-44-313219-3.00035-6","title":"Exergy","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Environmental science; Exergy; Process engineering; Engineering","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":[0.0001463113,0.001007136,0.0005794421,0.001226394,0.0005469022,0.001778888,0.0009082992,0.0007266742,0.1440286],"category_scores_gemma":[0.0002274171,0.0004209649,0.0005470307,0.001207217,0.000532765,0.001573407,0.001287631,0.001040416,0.06693066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006799385,"about_ca_system_score_gemma":0.0006264879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148278,"about_ca_topic_score_gemma":0.001766917,"domain_scores_codex":[0.9997872,0.00001077277,0.000006917398,0.00003828401,0.0001417574,0.00001519546],"domain_scores_gemma":[0.999949,0.000007485996,0.000002448708,0.00001647102,0.00001994855,0.00000461052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004198324,0.0000861583,0.0002022517,0.0006514958,0.00001891649,0.0001333861,0.0001749357,0.003505381,0.02120596,0.2245746,0.0880284,0.6613766],"study_design_scores_gemma":[0.000005094725,0.00002959996,0.0003864587,0.0001354069,0.000008142558,0.0002002105,0.00005609537,0.00154131,0.008380215,0.04044648,0.948799,0.00001195889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00189527,0.005425132,0.02957839,0.0003586504,0.0005056381,0.00005942341,0.0007050637,0.0006972587,0.9607752],"genre_scores_gemma":[0.01382516,0.004205468,0.007201442,0.0001504784,0.00008623498,0.00007609819,0.0008637998,0.0003408134,0.9732506],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1440286,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267199156349722,"score_gpt":0.2589428667241895,"score_spread":0.2462708751606923,"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."}}