{"id":"W2779052738","doi":"10.1002/nla.2206","title":"A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude","year":2018,"lang":"en","type":"preprint","venue":"Numerical Linear Algebra with Applications","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Seventh Framework Programme","keywords":"Helmholtz equation; Discretization; Multigrid method; Solver; Wave equation; Mathematical analysis; Eikonal equation; Mathematics; Amplitude; Applied mathematics; Partial differential equation; Physics; Mathematical optimization; Boundary value problem","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":[0.0005160947,0.0005580516,0.0006137078,0.000546504,0.0004089808,0.0007918804,0.0009689927,0.001058055,0.003026459],"category_scores_gemma":[0.001933168,0.0003944164,0.0008875858,0.0006261083,0.0006121341,0.0007535348,0.001596117,0.00132399,0.0007235397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005784183,"about_ca_system_score_gemma":0.001349828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005564466,"about_ca_topic_score_gemma":0.005168655,"domain_scores_codex":[0.9997308,0.00006093562,0.00001669036,0.0000364602,0.0001290829,0.00002605298],"domain_scores_gemma":[0.999471,0.0002317375,0.00003985593,0.00006586855,0.0001538974,0.00003751764],"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":[0.00008359089,0.0001096613,0.00111275,0.0001525842,0.00005468318,0.0002355181,0.0002597488,0.8021421,0.02039051,0.07763476,0.004781986,0.09304216],"study_design_scores_gemma":[0.000009201659,0.000006452897,0.00003921796,0.000003028112,0.00000210002,0.00001351001,0.000009424219,0.9936135,0.0009751416,0.003708845,0.001616213,0.000003210915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005992565,0.00004564812,0.9917089,0.00008913984,0.00003415944,0.00003215431,0.00004041559,0.0002174554,0.001839471],"genre_scores_gemma":[0.1286023,0.0001162813,0.8637604,0.0001030608,0.00006094277,0.0001571954,0.0002493319,0.0003485189,0.006601959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005564466,"threshold_uncertainty_score":0.01106411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385753378964502,"score_gpt":0.2245611686145886,"score_spread":0.2107036348249436,"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."}}