{"id":"W4205725225","doi":"10.1016/j.matpr.2021.12.440","title":"Advanced exergy analysis of renewable heat source driven ORC-VCR system","year":2022,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Jamia Millia Islamia","keywords":"Exergy; Zeotropic mixture; Evaporator; Condenser (optics); Exergy efficiency; Process engineering; Flammable liquid; Vapor-compression refrigeration; Refrigeration; Waste management; Environmental science; Gas compressor; Engineering; Mechanical engineering; Refrigerant","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001770618,0.0001412702,0.0003943449,0.0003854481,0.000167843,0.00007324266,0.0002305956,0.00005678217,0.0005634908],"category_scores_gemma":[0.00001958878,0.0001453768,0.00007044822,0.0007600921,0.0000257492,0.0001449616,0.0001109641,0.00006354818,0.000006080243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089559,"about_ca_system_score_gemma":0.000008351389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000437167,"about_ca_topic_score_gemma":0.000001886687,"domain_scores_codex":[0.9990253,0.000008644325,0.0003655517,0.0001962113,0.0002055833,0.0001986941],"domain_scores_gemma":[0.9996789,0.00001082802,0.00008081479,0.0001376459,0.00006280894,0.00002896499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001237413,0.00001001021,0.0001635261,0.0001444617,0.0001779023,0.00000123355,0.0002775768,0.1905081,0.8051849,0.001498614,0.001930191,0.00009107406],"study_design_scores_gemma":[0.0002713491,0.00007737548,0.00026728,0.00005134257,0.0002013457,0.000007713075,0.003012027,0.02301321,0.9611868,0.00008606332,0.01155043,0.0002750781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949848,0.00005428318,0.0006070818,0.00006079415,0.0003060294,0.00015019,0.00006031761,0.001320403,0.002456116],"genre_scores_gemma":[0.998387,0.000015799,0.0007941251,0.00001481338,0.00002716472,0.0001844133,0.00006278943,0.00002911651,0.0004847808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1674949,"threshold_uncertainty_score":0.6169829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005055783268086296,"score_gpt":0.1850067346269745,"score_spread":0.1799509513588882,"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."}}