{"id":"W4385729188","doi":"10.2172/1994034","title":"Parallel-in-Time Integration for Nonlinear Hyperbolic Problems (Final Report)","year":2022,"lang":"en","type":"report","venue":"","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Multigrid method; Nonlinear system; Solver; Spacetime; Computer science; Hyperbolic partial differential equation; Context (archaeology); Applied mathematics; Space time; Propagator; Grid; Discretization; Mathematics; Mathematical optimization; Partial differential equation; Mathematical analysis; Geometry; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002802211,0.0004709408,0.001153785,0.0003824297,0.0001450991,0.00008002397,0.0004460596,0.0003832325,0.003048279],"category_scores_gemma":[0.007428492,0.0004075193,0.0005204635,0.000421042,0.00005043714,0.0000929224,0.0001972027,0.0007862175,0.00003674952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007183279,"about_ca_system_score_gemma":0.0009680181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003964031,"about_ca_topic_score_gemma":0.0002950079,"domain_scores_codex":[0.9954329,0.00023139,0.001741132,0.0007566289,0.001363021,0.0004749618],"domain_scores_gemma":[0.9962935,0.001258568,0.001042025,0.0008321208,0.0004580919,0.00011573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006584999,0.0118725,0.001026314,0.007732074,0.002264776,0.0009075824,0.002108515,0.0006065097,0.003067471,0.08248572,0.1900314,0.6972386],"study_design_scores_gemma":[0.000967226,0.0003578613,0.0001175663,0.0002824883,0.0004607159,0.0004480364,0.00006448774,0.003717731,0.000131876,0.5889529,0.4035338,0.0009653508],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001384637,0.0001806138,0.9157667,0.0006326067,0.00209196,0.006050605,0.0003744264,0.000549412,0.07296906],"genre_scores_gemma":[0.0000698583,0.0001127103,0.8730147,0.0000347428,0.0006017822,0.002380084,0.002282022,0.0001930651,0.121311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6962733,"threshold_uncertainty_score":0.9998376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2138656996986111,"score_gpt":0.4224162169859826,"score_spread":0.2085505172873715,"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."}}