{"id":"W4214624768","doi":"10.1115/1.4053970","title":"A Robust Pseudo-Three-Dimensional Computational Fluid Dynamic Approach for Industrial Applications","year":2022,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Mitacs; Ontario Centres of Excellence","keywords":"Computer science; Computational fluid dynamics; Fluid dynamics; Simple (philosophy); Internal flow; Flow (mathematics); Mathematical optimization; Mechanics; Mathematics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004201857,0.0002164231,0.0003052977,0.0003728828,0.0001870281,0.0000463355,0.0003150462,0.00006773285,0.00002588461],"category_scores_gemma":[0.00002812652,0.000248266,0.0002219574,0.0004044507,0.0000168988,0.0001399798,0.00007746862,0.000488256,0.000001125882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004267434,"about_ca_system_score_gemma":0.0001180743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001227608,"about_ca_topic_score_gemma":6.2126e-7,"domain_scores_codex":[0.9983861,0.00001409014,0.0006580164,0.0001663853,0.0005038294,0.0002715466],"domain_scores_gemma":[0.9992504,0.0002099323,0.00009691351,0.0001259334,0.000189687,0.000127183],"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":[0.00002616104,0.00006779669,0.00003151926,0.00004734527,0.0001065066,0.00000421196,0.00002189775,0.991392,0.003523376,0.002374048,0.000870731,0.001534432],"study_design_scores_gemma":[0.001005794,0.0001051521,0.0002689125,0.00001184879,0.00004382768,0.00026919,0.00001860438,0.9963228,0.000009330828,0.0004400515,0.001260205,0.0002442774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07840191,0.0004160711,0.9198507,0.0000581391,0.0006600989,0.0003435264,0.000145978,0.000094601,0.0000290009],"genre_scores_gemma":[0.7516387,0.000007151131,0.247316,0.00003068821,0.000460505,0.0001625283,0.0002635763,0.00009400889,0.00002683571],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6732368,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652574965810634,"score_gpt":0.2054783282341058,"score_spread":0.1889525785759995,"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."}}