{"id":"W2263704413","doi":"10.1016/j.ijrefrig.2015.07.030","title":"Turbulence modeling of a single-phase R134a supersonic ejector. Part 1: Numerical benchmark","year":2015,"lang":"en","type":"article","venue":"International Journal of Refrigeration","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université de Sherbrooke","keywords":"Turbulence; Supersonic speed; Injector; Benchmark (surveying); Work (physics); Mechanics; Computational fluid dynamics; Turbulence modeling; Computer science; Thermodynamics; Physics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746347,0.000645512,0.0008644694,0.0003845165,0.0007288706,0.0008626111,0.001367854,0.001470104,0.002905512],"category_scores_gemma":[0.0007346034,0.0002491268,0.0007389259,0.000510407,0.0005463918,0.0006278253,0.0006641109,0.0007801195,0.0003449213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006936831,"about_ca_system_score_gemma":0.0009329999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02619248,"about_ca_topic_score_gemma":0.01123792,"domain_scores_codex":[0.9998478,0.0000307934,0.000008699655,0.000020101,0.00004563361,0.0000469589],"domain_scores_gemma":[0.9996929,0.0001087888,0.00003931851,0.0000226077,0.00009345358,0.00004293945],"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":[0.0002183001,0.0001929383,0.001988565,0.00008453445,0.00002699375,0.0001894068,0.00004341338,0.9823355,0.008305388,0.002834926,0.001025928,0.00275409],"study_design_scores_gemma":[0.00004029675,0.00008450432,0.001078976,0.000006029547,0.000006717175,0.00001523634,0.000020848,0.9968047,0.001393022,0.0002263542,0.0003101274,0.00001327017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9437467,0.0007349881,0.02201258,0.0005800648,0.000157971,0.0001329189,0.002108825,0.0004403192,0.03008568],"genre_scores_gemma":[0.991518,0.0001667879,0.003946051,0.00006004907,0.00002138583,0.00005959325,0.0007756356,0.00005181977,0.003400699],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02619248,"threshold_uncertainty_score":0.05208004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04287352757800889,"score_gpt":0.2799500651041924,"score_spread":0.2370765375261835,"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."}}