{"id":"W2995825383","doi":"10.1115/1.4045481","title":"Multiscale Parallelized Computational Fluid Dynamics Modeling Toward Resolving Manufacturable Roughness","year":2019,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada)","funders":"","keywords":"Surface roughness; Surface finish; Computational fluid dynamics; Flow (mathematics); Computer science; Mechanical engineering; Block (permutation group theory); Materials science; Computational science; Simulation; Mechanics; Aerospace engineering; Engineering; Physics; Geometry; Mathematics","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":[0.0005896411,0.0006456249,0.0007870822,0.0005040832,0.0003424227,0.0009383587,0.0009855697,0.001063304,0.00103361],"category_scores_gemma":[0.001649708,0.0003913342,0.0008236581,0.0003739252,0.00088187,0.0005530295,0.001189369,0.0009707651,0.0001688265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005500917,"about_ca_system_score_gemma":0.0009733996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010164,"about_ca_topic_score_gemma":0.005251383,"domain_scores_codex":[0.9997993,0.00006900117,0.000008379689,0.00002934936,0.00006702266,0.00002702395],"domain_scores_gemma":[0.999448,0.0002574361,0.00008728802,0.00005234587,0.00009988742,0.00005508075],"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":[0.00002326439,0.00001806563,0.0005426052,0.00001709312,0.00001234257,0.00003949518,0.00001662219,0.9922273,0.001723141,0.002860988,0.0001516473,0.002367513],"study_design_scores_gemma":[0.000001071573,0.000001551894,0.00002503584,4.822016e-7,4.60787e-7,9.920741e-7,7.115211e-7,0.9997438,0.00004418441,0.0001426607,0.00003854748,5.890325e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1690262,0.0005242538,0.8216214,0.0006236159,0.0001154001,0.00009285635,0.0002115424,0.0005714555,0.007213259],"genre_scores_gemma":[0.8775841,0.0002586543,0.1198949,0.00009313961,0.00005757356,0.0001447358,0.0001463559,0.0001080846,0.001712444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.010164,"threshold_uncertainty_score":0.02020967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052945433067218,"score_gpt":0.2319681632027885,"score_spread":0.2214387088721163,"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."}}