{"id":"W3198970141","doi":"10.1063/5.0062155","title":"Assessment of turbulence modeling for massively-cooled turbulent boundary layer flows with transpiration cooling","year":2021,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Compute Canada","keywords":"Turbulence; Reynolds-averaged Navier–Stokes equations; Physics; Mechanics; Boundary layer; Mach number; Direct numerical simulation; Heat flux; Turbulence kinetic energy; Thermodynamics; Reynolds number; Heat transfer","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":[0.0001148361,0.000212309,0.000372433,0.00004335602,0.00005676108,0.00002959646,0.0001381987,0.00006828942,0.00001088372],"category_scores_gemma":[0.000006353107,0.0002073731,0.0001534293,0.0001969766,0.00002950605,0.0001971132,0.00001712377,0.0001348788,6.252795e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006269959,"about_ca_system_score_gemma":0.000136942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009073889,"about_ca_topic_score_gemma":0.000006842857,"domain_scores_codex":[0.998788,0.00001495061,0.0004128293,0.0002403477,0.0003018875,0.0002420048],"domain_scores_gemma":[0.9991913,0.00004604635,0.00005250318,0.0002958863,0.0003578244,0.00005641287],"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":[0.00002290064,0.00008167369,0.00006497178,0.000405846,0.0001184523,0.000002751629,0.0001892398,0.8373085,0.1561163,0.004669079,0.00001100801,0.001009284],"study_design_scores_gemma":[0.0007783425,0.00009933578,0.0001159818,0.0001828191,0.00009155987,0.000002159251,0.0000221758,0.9583779,0.03882876,0.001209347,0.00007127205,0.0002203664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4681705,0.0003922203,0.5308129,0.00002724611,0.0001108975,0.0001864814,0.00005415059,0.00004326703,0.0002022991],"genre_scores_gemma":[0.9638199,0.000121955,0.0357241,0.00002048533,0.00009525245,0.00004817515,0.0001069328,0.00005176161,0.000011487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4956494,"threshold_uncertainty_score":0.8456428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652938827405189,"score_gpt":0.2428599683756576,"score_spread":0.2263305801016057,"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."}}