{"id":"W3176220815","doi":"10.18280/mmep.080311","title":"Numerical Simulation of Slip effect on Lid-Driven Cavity Flow Problem for High Reynolds Number: Vorticity – Stream Function Approach","year":2021,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reynolds number; Stream function; Vorticity; Slip (aerodynamics); Mechanics; Compressibility; Reynolds-averaged Navier–Stokes equations; Mathematics; Hele-Shaw flow; Navier–Stokes equations; Pressure-correction method; Computational fluid dynamics; Physics; Vortex; Turbulence; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002560508,0.0004793498,0.0007699354,0.0003997112,0.000513104,0.0007268233,0.000581182,0.001169808,0.001850671],"category_scores_gemma":[0.0006991063,0.0002037175,0.0004631387,0.0004311491,0.0005117867,0.000343758,0.0005788741,0.0004456411,0.0001560597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003002832,"about_ca_system_score_gemma":0.0006969862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005401254,"about_ca_topic_score_gemma":0.002747062,"domain_scores_codex":[0.9998789,0.00002719265,0.000006091451,0.00001526535,0.00003374386,0.00003879697],"domain_scores_gemma":[0.9996667,0.0001485351,0.00005893978,0.00002227807,0.00006308179,0.00004052475],"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":[0.0001050722,0.0001045078,0.002981663,0.0001419694,0.00002212353,0.0006180339,0.000121032,0.9731765,0.01375879,0.002887033,0.0007919488,0.005291343],"study_design_scores_gemma":[0.00001023395,0.00003099072,0.0006140018,0.000007173986,0.000002896278,0.00003446855,0.000026992,0.9974588,0.001289594,0.0002363601,0.0002823346,0.000006308348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8810552,0.0008590354,0.09389083,0.0004173678,0.0001376345,0.00008803864,0.0004371485,0.000440728,0.02267417],"genre_scores_gemma":[0.9835963,0.000174185,0.01328943,0.00002446304,0.00001488808,0.00006011536,0.0001691209,0.0000294514,0.002642099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005401254,"threshold_uncertainty_score":0.01073962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204818245578961,"score_gpt":0.2027003576151185,"score_spread":0.1906521751593289,"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."}}