{"id":"W2345895673","doi":"10.1016/j.ijrefrig.2016.04.026","title":"Comparison of ejector predicted performance by thermodynamic and CFD models","year":2016,"lang":"en","type":"article","venue":"International Journal of Refrigeration","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université de Sherbrooke","keywords":"Computational fluid dynamics; Isentropic process; Thermodynamics; Injector; Mechanics; Entrainment (biomusicology); Thermodynamic process; Mixing (physics); Limiting; Overall pressure ratio; Similitude; Materials science; Physics; Engineering; Gas compressor; Mechanical engineering; Material properties","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":[0.00009569565,0.00007226742,0.0001269245,0.0001494224,0.00002278711,0.00002960781,0.000142736,0.00005769157,0.00003276068],"category_scores_gemma":[0.00003015789,0.00004927864,0.00003007555,0.00004287899,0.00004277271,0.0005491156,0.000012143,0.00007747791,0.000001406003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006452326,"about_ca_system_score_gemma":0.00001597102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.280077e-7,"about_ca_topic_score_gemma":0.000001091318,"domain_scores_codex":[0.9992447,0.00001302978,0.0003786811,0.00005493244,0.0002483213,0.00006028724],"domain_scores_gemma":[0.9994451,0.00003857171,0.0001757317,0.0000587,0.0002595713,0.00002227191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005690828,0.00005218035,0.005536723,0.00001932132,0.0001645575,0.000001551459,0.0003145609,0.01072024,0.9100279,0.002429257,0.003237177,0.06743962],"study_design_scores_gemma":[0.001346769,0.0002987174,0.009060862,0.0003681953,0.00002123151,0.00005133611,0.0000920189,0.4863567,0.4971837,0.003104769,0.001908997,0.0002066194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165884,0.0001931405,0.08191254,0.0003445364,0.0003629654,0.00003859831,0.00002489547,0.00005496544,0.0004800083],"genre_scores_gemma":[0.9984881,0.0004299672,0.0009332089,0.000009396975,0.00005762032,0.000002237477,0.000009000877,0.000008457797,0.00006206341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4756365,"threshold_uncertainty_score":0.2009525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111836417017508,"score_gpt":0.2530843717066328,"score_spread":0.241900730004882,"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."}}