{"id":"W4231763867","doi":"10.1002/9781119230793.ch4","title":"Refrigeration Cycles and Systems","year":2017,"lang":"en","type":"other","venue":"","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Refrigeration; Vapor-compression refrigeration; Coefficient of performance; Gas compressor; Process engineering; Condensation; Exergy; Cooling capacity; Absorption refrigerator; Thermodynamics; Heat pump and refrigeration cycle; Evaporation; Environmental science; Mechanical engineering; Engineering; Refrigerant; 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":[],"consensus_categories":[],"category_scores_codex":[0.00002170226,0.000101225,0.0001115608,0.0001074098,0.00004724899,0.0001623537,0.00006971376,0.0001997302,0.0001535953],"category_scores_gemma":[0.000008792766,0.00008665773,0.00001104971,0.00001025582,0.00003036272,0.00004014278,0.00001144309,0.00006910432,0.00007234503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000946391,"about_ca_system_score_gemma":0.000003065876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003136526,"about_ca_topic_score_gemma":0.00005631087,"domain_scores_codex":[0.9997402,0.000003440594,0.00005655509,0.00008778765,0.00004710345,0.00006488448],"domain_scores_gemma":[0.9997244,0.000004077262,0.0000297228,0.0002220519,0.000005068969,0.00001461915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[6.257545e-8,6.578807e-7,0.000007017042,0.00005565129,0.00001695234,0.000001371836,0.000003126783,0.00004421247,0.00008170804,0.005314151,0.9909819,0.003493124],"study_design_scores_gemma":[0.00004558986,0.000003483894,0.00002633732,0.0001376035,0.000004260696,0.000003359878,0.000009201254,0.003681293,0.0001077232,0.00009983544,0.9957529,0.000128471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002345351,0.00205792,0.003055948,0.00003672635,0.0004496732,0.0001031094,0.00001113968,0.002928463,0.9913335],"genre_scores_gemma":[0.017195,0.001367876,0.0006526662,0.000005262463,0.0001492676,0.00002597259,0.00003559018,0.0001498023,0.9804186],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01717155,"threshold_uncertainty_score":0.35338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280980075298448,"score_gpt":0.2273358505791326,"score_spread":0.2145260498261481,"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."}}