{"id":"W2372050858","doi":"","title":"EXERGY ANALYSIS AND PRELIMINARY EXPERIMENTAL INVESTIGATION ON A MIXTURE AUTO- CASCADE REFRIGERATOR","year":2001,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Zeotropic mixture; Exergy; Cascade; Refrigerant; Thermodynamics; Refrigeration; Exergy efficiency; Refrigerator car; Heat pump and refrigeration cycle; Process engineering; Materials science; Gas compressor; Chemistry; Physics; Chromatography","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":[0.0002835801,0.0001304705,0.0001994304,0.0003732196,0.0001726597,0.0002022603,0.000350269,0.00008880359,0.0001241976],"category_scores_gemma":[0.000071995,0.0001035672,0.0001141978,0.001754329,0.00007921118,0.0003497849,0.000172247,0.0001402624,0.00003091507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006280339,"about_ca_system_score_gemma":0.00004420178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002208914,"about_ca_topic_score_gemma":0.00002734458,"domain_scores_codex":[0.9984938,0.0001363576,0.0001933466,0.0005243719,0.0004172803,0.0002348288],"domain_scores_gemma":[0.9990368,0.0001590099,0.0000408883,0.0005069688,0.00005993488,0.0001963307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007107783,0.003718493,0.3489302,0.000169641,0.005006089,0.00108013,0.02482625,0.005647106,0.1946235,0.08236743,0.01999374,0.3129267],"study_design_scores_gemma":[0.0007633891,0.001138166,0.07818862,0.000034727,0.0001723335,0.00005575569,0.0004052481,0.6774932,0.2333727,0.002695593,0.004958702,0.0007216554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8982552,0.000342579,0.09843338,0.001620096,0.00003517922,0.000119299,9.935314e-7,0.000204358,0.0009889045],"genre_scores_gemma":[0.9895531,0.00004895963,0.008678241,0.0005027865,0.00003468641,0.00002446342,0.000007273084,0.000004749691,0.001145728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.671846,"threshold_uncertainty_score":0.4223349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207289868514483,"score_gpt":0.2816664879434276,"score_spread":0.2595935892582827,"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."}}