{"id":"W4403115403","doi":"10.1016/j.energy.2024.133222","title":"Analysis of the exergy transfers in subcritical and transcritical CO <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.svg\" display=\"inline\" id=\"d1e1850\"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:math> ejectors and their connection with the performance of the refrigeration cycle","year":2024,"lang":"lv","type":"article","venue":"Energy","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Collège Shawinigan; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Hydro-Québec","keywords":"Computer science; Algorithm; Mathematics; Applied mathematics; Algebra over a field; Pure mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005318623,0.0003111344,0.0002138051,0.0002437772,0.0004869886,0.0003221085,0.0004339639,0.0005514224,0.002561276],"category_scores_gemma":[0.0001655356,0.000305026,0.0003979855,0.0008837349,0.0009611893,0.0004713878,0.0001264965,0.0005966914,0.00001167776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001293709,"about_ca_system_score_gemma":0.0002018107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004325933,"about_ca_topic_score_gemma":0.001918657,"domain_scores_codex":[0.9976208,0.0001668599,0.000638715,0.0005055525,0.0005560462,0.0005120831],"domain_scores_gemma":[0.9984722,0.0005639261,0.0001543243,0.0006413811,0.00005228637,0.0001159339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002156195,0.00007553356,0.00004037406,0.0003877159,0.0007536253,0.00003230157,0.001792922,0.01893271,0.01133503,0.9631587,0.001269834,0.002005619],"study_design_scores_gemma":[0.0003209262,0.0003167438,0.0004677386,0.0003547783,0.0004335277,0.00006508851,0.001183548,0.55364,0.4424529,0.00003647446,0.0004995402,0.0002286649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835796,0.0008186584,0.002350719,0.001451612,0.0004654198,0.00003154367,0.000153949,0.0001182277,0.01103032],"genre_scores_gemma":[0.997993,0.0009578628,0.0001613479,0.0002065364,0.0001654979,0.0001858656,0.0001700635,0.0001028968,0.00005694231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9631222,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009125482815225803,"score_gpt":0.2161402236008376,"score_spread":0.2070147407856118,"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."}}