{"id":"W2051501819","doi":"10.1016/j.compfluid.2010.10.025","title":"Discretizations for weighted condition number smoothing on general unstructured meshes","year":2011,"lang":"en","type":"article","venue":"Computers & Fluids","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Grantová Agentura České Republiky; Ministerstvo Školství, Mládeže a Tělovýchovy; European Science Foundation; Providence Health Care","keywords":"Polygon mesh; Smoothing; Discretization; Smoothness; Computer science; Applied mathematics; Mathematical optimization; Mathematics; Regular polygon; Algorithm; Geometry; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001560966,0.0005907806,0.0006749073,0.001017515,0.000524168,0.0009980828,0.001485886,0.001012802,0.003374775],"category_scores_gemma":[0.007174242,0.0004054209,0.0007120683,0.0009128598,0.0009825428,0.001570174,0.001597355,0.001654162,0.0007137471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007059987,"about_ca_system_score_gemma":0.0006630506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002190894,"about_ca_topic_score_gemma":0.002928956,"domain_scores_codex":[0.9992725,0.0002235769,0.00005196006,0.00008090108,0.0003239524,0.00004714627],"domain_scores_gemma":[0.9977334,0.000946403,0.0001750602,0.0005345526,0.0004936707,0.0001168582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002835372,0.00009904933,0.0007401913,0.0002534333,0.00006031654,0.0001466895,0.000192058,0.3728204,0.01989288,0.4624577,0.00521146,0.1378423],"study_design_scores_gemma":[0.000009633125,0.0000133139,0.00009543172,0.000009353758,0.000004902895,0.00001790001,0.000007300836,0.9493838,0.00131615,0.04687154,0.002260813,0.000009759402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007433068,0.0001430423,0.9899542,0.00006654634,0.0001064574,0.00003011368,0.00005411521,0.0001766956,0.002035724],"genre_scores_gemma":[0.225232,0.0004158754,0.7610523,0.000171043,0.0001506718,0.0002039747,0.0005544619,0.0007626436,0.01145699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003374775,"threshold_uncertainty_score":0.01128978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106066369116691,"score_gpt":0.2211805820760477,"score_spread":0.2105739451643786,"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."}}