{"id":"W1993778247","doi":"10.1016/j.applthermaleng.2005.07.003","title":"Numerical assessment of ejector operation for refrigeration applications based on CFD","year":2005,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Natural Resources Canada","funders":"","keywords":"Refrigerant; Computational fluid dynamics; Injector; Refrigeration; Nozzle; Turbulence; Supersonic speed; Mechanical engineering; Mixing (physics); NIST; Computer science; Engineering; Mechanics; Gas compressor; Aerospace engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004909128,0.0004597693,0.0008869616,0.0005672492,0.000769781,0.001067537,0.0006755074,0.001099691,0.002087293],"category_scores_gemma":[0.002085254,0.00035846,0.0005576066,0.0004299732,0.0006696574,0.0006862594,0.0005312504,0.0005475252,0.0002562858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007622725,"about_ca_system_score_gemma":0.0006589876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007190465,"about_ca_topic_score_gemma":0.004503734,"domain_scores_codex":[0.9997739,0.00006050613,0.00001303552,0.00002487936,0.00009269439,0.00003502858],"domain_scores_gemma":[0.9989674,0.0006472866,0.00006002581,0.00006489317,0.0002044453,0.00005592444],"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":[0.0003664099,0.0001256934,0.002303007,0.00009527713,0.00001467067,0.0001160315,0.0000700727,0.9724587,0.01476413,0.0009545598,0.0003258113,0.008405549],"study_design_scores_gemma":[0.00001620146,0.00005906026,0.0007576469,0.000004937502,0.000004666002,0.00001619278,0.00002120296,0.9958124,0.003011506,0.0001035036,0.0001834503,0.000009187908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424429,0.0005492077,0.04034835,0.0002254513,0.00008054561,0.00009680732,0.0002527021,0.0003902429,0.01561376],"genre_scores_gemma":[0.9934868,0.0001233168,0.004966758,0.00001451862,0.000007315189,0.0000203924,0.00007550922,0.00003298146,0.001272497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007190465,"threshold_uncertainty_score":0.01429725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006295165767126319,"score_gpt":0.2295990045339583,"score_spread":0.223303838766832,"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."}}