{"id":"W2076278798","doi":"10.1080/10618560701737203","title":"Efficient multilevel restriction–prolongation expressions for hybrid finite volume element method","year":2008,"lang":"en","type":"article","venue":"International journal of computational fluid dynamics","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"","keywords":"Multigrid method; Prolongation; Applied mathematics; Finite element method; Mathematics; Bilinear interpolation; Finite volume method; Solver; Relaxation (psychology); Compressibility; Mathematical optimization; Mathematical analysis; Partial differential equation; Mechanics; Physics","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":[0.0006936067,0.0002680682,0.0003875624,0.0002866201,0.0002490793,0.0004466588,0.0007773515,0.0004808049,0.002758974],"category_scores_gemma":[0.0009835693,0.0001257854,0.0003519955,0.0002551808,0.0004806013,0.0004445267,0.0009169198,0.000604841,0.0004885126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857001,"about_ca_system_score_gemma":0.0003148897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007694873,"about_ca_topic_score_gemma":0.001007487,"domain_scores_codex":[0.999739,0.00009079464,0.00001370076,0.00001727113,0.000119414,0.00001984559],"domain_scores_gemma":[0.9995889,0.0001932923,0.00003815553,0.00005920673,0.0001024051,0.0000180991],"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":[0.0001519426,0.00007881458,0.00112247,0.0002585642,0.00003633437,0.0003770312,0.0003394964,0.6356602,0.0455974,0.1697659,0.002081051,0.1445309],"study_design_scores_gemma":[0.000006870025,0.00002118709,0.00008124601,0.000007480605,0.00000284927,0.00003143361,0.0000053772,0.9906306,0.001935262,0.004405368,0.002867647,0.000004683493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01894138,0.0002226539,0.9768118,0.00009524473,0.0000572368,0.0000389105,0.00003041912,0.0002020329,0.003600326],"genre_scores_gemma":[0.4658637,0.0003303968,0.5260726,0.0001166497,0.00008137571,0.000225452,0.0001369993,0.0001868889,0.006986031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002758974,"threshold_uncertainty_score":0.00922972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216322457495174,"score_gpt":0.2663205713010594,"score_spread":0.2541573467261077,"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."}}