{"id":"W2943443484","doi":"10.3390/en12091686","title":"Analysis and Optimization of Exergy Flows inside a Transcritical CO2 Ejector for Refrigeration, Air Conditioning and Heat Pump Cycles","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Hydro-Québec; Université de Sherbrooke","keywords":"Exergy; Exergy efficiency; Injector; Refrigeration; Condenser (optics); Evaporator; Environmental science; Air conditioning; Transcritical cycle; Thermodynamics; Process engineering; Engineering; Refrigerant; Heat exchanger; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005974567,0.0001043649,0.0002161691,0.0002383453,0.00007995803,0.00004855939,0.0000393289,0.00008366098,0.00004921538],"category_scores_gemma":[0.00003837403,0.0001030312,0.00004754203,0.0001994226,0.00005991383,0.000232476,0.000009488993,0.00004631207,6.098269e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001379794,"about_ca_system_score_gemma":0.000008486521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001457136,"about_ca_topic_score_gemma":0.00003865472,"domain_scores_codex":[0.9994466,0.0000134362,0.0002098354,0.0001488216,0.00007400123,0.0001073015],"domain_scores_gemma":[0.9996796,0.00009993005,0.00001798642,0.0001143273,0.00006309574,0.00002501264],"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":[0.000006043189,0.000005921827,0.0007731133,0.00006529053,0.000110797,2.453278e-7,0.0001562557,0.9601778,0.02987616,0.008588558,0.00004822392,0.0001916201],"study_design_scores_gemma":[0.0005184879,0.00006739124,0.004413736,0.00004265738,0.0001303735,0.000002853999,0.0004201927,0.8527442,0.1401447,0.000939792,0.0003694955,0.0002061561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9079039,0.0002952705,0.09090628,0.0001774361,0.00006664456,0.0001230731,0.00003559457,0.0002725772,0.0002192645],"genre_scores_gemma":[0.981595,0.0001915587,0.01793222,0.00002475355,0.00001806356,0.0000452598,0.0001304856,0.00001385561,0.00004884612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1102685,"threshold_uncertainty_score":0.420149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006074501062882889,"score_gpt":0.2127463246671907,"score_spread":0.2066718236043079,"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."}}