{"id":"W2348666875","doi":"","title":"Application of parallel multi-grid method in computational fluid dynamics","year":2008,"lang":"en","type":"article","venue":"Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grid; Conjugate gradient method; Computer science; Parallel computing; Domain decomposition methods; Computation; Computational science; Algorithm; Grid file; Partition (number theory); Cascade; Acceleration; Grid computing; Mathematics; Geometry; Finite element method","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003808223,0.0002650766,0.0004760621,0.0006212256,0.00006183417,0.00001253549,0.0004185111,0.0001393147,0.000007131536],"category_scores_gemma":[0.00004865813,0.0003263167,0.0001950734,0.0006152412,0.00005205531,0.0003278668,0.00006752614,0.0004927171,0.000003489553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005991491,"about_ca_system_score_gemma":0.0001109288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004915029,"about_ca_topic_score_gemma":0.00003024884,"domain_scores_codex":[0.998495,0.00004369446,0.0006366476,0.000200833,0.0003472186,0.0002765412],"domain_scores_gemma":[0.9989628,0.0002299396,0.0001946743,0.0001906648,0.0002823063,0.0001395914],"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":[0.00003731515,0.0001030397,0.002360543,0.00008677228,0.00009772718,0.0001123001,0.0002303458,0.9889805,0.001876144,0.005669404,0.00004831149,0.0003975825],"study_design_scores_gemma":[0.001328731,0.0000388263,0.03052145,0.00007032396,0.00003151084,0.0001743605,0.00007096571,0.9669558,0.00007588547,0.00007658182,0.0003839347,0.0002716684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2983844,0.0001428398,0.7008869,0.00003538757,0.0002760387,0.0001076229,0.00005283969,0.00005780428,0.00005612444],"genre_scores_gemma":[0.813066,0.0001174389,0.1866207,0.000006319277,0.00006085829,7.333313e-7,0.00005915702,0.00003802587,0.00003074844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5146816,"threshold_uncertainty_score":0.9999189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006574406270599036,"score_gpt":0.1910487251317126,"score_spread":0.1844743188611135,"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."}}