{"id":"W4306847886","doi":"10.1002/essoar.10512657.1","title":"A Mixed-Flux-Based Nodal Discontinuous Galerkin Method for 3D Dynamic Rupture Modeling","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fault (geology); Benchmark (surveying); Discontinuous Galerkin method; Earthquake rupture; Boundary (topology); Computer science; Geology; Applied mathematics; Mathematical analysis; Mathematics; Engineering; Structural engineering; Finite element method; Seismology","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":[0.0004076225,0.0005609227,0.0005532738,0.0004932668,0.0003557919,0.0006127047,0.001093328,0.001025763,0.001453346],"category_scores_gemma":[0.0008857104,0.0003516725,0.0006271402,0.000370709,0.0005147848,0.0006009532,0.0007008474,0.0007658785,0.0003408155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004741123,"about_ca_system_score_gemma":0.0007378215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003070365,"about_ca_topic_score_gemma":0.002659657,"domain_scores_codex":[0.9998529,0.00004685652,0.000009375889,0.00002138275,0.0000572529,0.00001227276],"domain_scores_gemma":[0.9997638,0.0001116716,0.00002734588,0.00002175988,0.00005621423,0.00001924343],"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":[0.00004327633,0.00005718979,0.0008366406,0.00008239635,0.00003180761,0.0000874537,0.00007056759,0.9484433,0.01096901,0.009466837,0.0005331804,0.02937839],"study_design_scores_gemma":[0.000002064284,0.000003578244,0.00002229322,0.000001540732,0.000001053397,0.000004375197,0.000001580658,0.9989568,0.0003638286,0.0003724292,0.0002685924,0.00000188289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.013983,0.0001148635,0.9843493,0.00006698519,0.00002922771,0.00002649474,0.00006133287,0.0002481956,0.001120514],"genre_scores_gemma":[0.4479049,0.0002529574,0.5480887,0.00008424114,0.00004479512,0.0002499674,0.0002605639,0.0002543873,0.002859469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003070365,"threshold_uncertainty_score":0.006104946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804738739747089,"score_gpt":0.2738216321468184,"score_spread":0.2457742447493475,"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."}}