{"id":"W3207937981","doi":"","title":"Theoretical Exergy and Second Law Analysis of Vapour Compression Refrigeration System with Refrigerants of Low and High Global Warming Potential","year":2021,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; Zeotropic mixture; Chlorofluorocarbon; Exergy; Refrigeration; Thermodynamics; Context (archaeology); Gas compressor; Exergy efficiency; Process engineering; Refrigerator car; Environmental science; Chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003115557,0.0006195257,0.0005769952,0.001332428,0.0005145108,0.0007542155,0.0008659645,0.000849246,0.006687084],"category_scores_gemma":[0.0005985572,0.0003429897,0.001548159,0.0005223179,0.000896586,0.001071152,0.0005296218,0.0007516859,0.000804737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287539,"about_ca_system_score_gemma":0.0005787522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005606529,"about_ca_topic_score_gemma":0.002559757,"domain_scores_codex":[0.999844,0.00002190934,0.000006791717,0.00002456971,0.00006695895,0.00003573396],"domain_scores_gemma":[0.9998497,0.00007428741,0.00001323433,0.000008956128,0.00004578841,0.000008065595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001108003,0.0001423546,0.003644326,0.001020313,0.00008431604,0.001200894,0.0005932128,0.5867937,0.03325507,0.3420973,0.004221714,0.02683599],"study_design_scores_gemma":[0.00001093285,0.00006161581,0.001725771,0.00005610568,0.00002357671,0.0003048664,0.00009112168,0.9517142,0.00363154,0.03701887,0.005328769,0.0000325793],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3138621,0.02135268,0.38193,0.003094649,0.0006438731,0.0003741306,0.001525122,0.0003747822,0.2768426],"genre_scores_gemma":[0.9507787,0.003402544,0.007832819,0.0002078631,0.0001034265,0.0002381747,0.0003040525,0.0001023016,0.03703012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006687084,"threshold_uncertainty_score":0.02237052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004671645203139561,"score_gpt":0.219614320539134,"score_spread":0.2149426753359944,"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."}}