{"id":"W4296181562","doi":"10.1016/j.tsep.2022.101477","title":"Analysis of solar energy driven organic Rankine cycle-vapor compression refrigeration system","year":2022,"lang":"en","type":"article","venue":"Thermal Science and Engineering Progress","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Jamia Millia Islamia","keywords":"Organic Rankine cycle; Exergy; Refrigeration; Exergy efficiency; Coefficient of performance; Vapor-compression refrigeration; Degree Rankine; Environmental science; Gas compressor; Rankine cycle; Materials science; Nuclear engineering; Working fluid; Solar energy; Process engineering; Thermodynamics; Waste management; Mechanical engineering; Electricity generation; Electrical engineering; Engineering; Power (physics); Refrigerant; Physics","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":[0.000379925,0.0001260474,0.000267555,0.0003228287,0.0002435254,0.0000369287,0.0002727124,0.00002812871,0.00004542501],"category_scores_gemma":[0.000003590843,0.0001139973,0.00005957427,0.001159142,0.00008392834,0.0001195793,0.00008924379,0.00008932124,5.631405e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019998,"about_ca_system_score_gemma":0.00002183452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005844672,"about_ca_topic_score_gemma":0.00000296215,"domain_scores_codex":[0.9989058,0.00001822392,0.0002349752,0.0001844789,0.0004109841,0.0002455836],"domain_scores_gemma":[0.9996179,0.00001274105,0.00004766235,0.000190612,0.00005313399,0.00007789906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009636191,0.00001392235,0.0003319509,0.00006815898,0.0001710076,0.000005323347,0.0005448704,0.947682,0.04438899,0.0005930649,0.000004754011,0.006186383],"study_design_scores_gemma":[0.0001175908,0.00003052764,0.004024644,0.00002219022,0.0001549602,0.000007465148,0.0002169932,0.9937845,0.001346328,0.0000013717,0.0001522365,0.0001411567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786513,0.001013515,0.01943558,0.000009450306,0.0003136372,0.00006842145,0.00001602237,0.0002374903,0.0002545938],"genre_scores_gemma":[0.9997901,0.00001513763,0.00008976747,0.000003252603,0.00003157517,0.00002451408,0.00001622919,0.00001611217,0.00001328807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0461026,"threshold_uncertainty_score":0.4648674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003615833081907951,"score_gpt":0.19078817340731,"score_spread":0.1871723403254021,"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."}}