{"id":"W1480097244","doi":"10.1007/978-3-642-01970-8_7","title":"A Parallel High-Order Discontinuous Galerkin Shallow Water Model","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Discontinuous Galerkin method; Shallow water equations; Discretization; Flume; Waves and shallow water; Solver; Exponential function; Scaling; Convergence (economics); Image stitching; Flooding (psychology); Mathematics; Geology; Mathematical analysis; Geometry; Computer science; Physics; Mathematical optimization; Finite element method; Flow (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002011479,0.0005176226,0.00045164,0.000395691,0.0001062248,0.0002343045,0.0008185763,0.0002626989,0.00002348239],"category_scores_gemma":[0.000008315606,0.0004282409,0.0001125257,0.0001593356,0.0001926747,0.0001820951,0.0002408364,0.0006338149,0.00003661541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510245,"about_ca_system_score_gemma":0.0001013873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009535633,"about_ca_topic_score_gemma":0.0001490369,"domain_scores_codex":[0.9976991,0.000006005272,0.0004150919,0.0007288519,0.0005528109,0.0005981232],"domain_scores_gemma":[0.9991441,0.0000723519,0.00004184778,0.0004950309,0.0001296253,0.0001170338],"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":[0.000002359494,0.000009716703,0.000003791213,0.00001786985,0.00001026954,0.0000302203,0.0001063812,0.9059577,0.0002785025,0.005634638,0.000005797696,0.08794275],"study_design_scores_gemma":[0.0001669454,0.00002763414,0.00009139504,0.0001066083,0.000008042082,0.00001488281,2.709516e-8,0.8435261,0.00001880937,0.1554367,0.0001071953,0.0004957474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002082864,0.0002116797,0.9939164,0.0002685993,0.0007539061,0.0002319168,0.00002052981,0.0002027602,0.002311375],"genre_scores_gemma":[0.6365872,0.00009454496,0.3606451,0.000627062,0.0004459046,0.000009185205,0.000114746,0.0001126444,0.00136358],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6345043,"threshold_uncertainty_score":0.999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007053023978452006,"score_gpt":0.198232722977797,"score_spread":0.191179698999345,"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."}}