{"id":"W2605276264","doi":"10.1002/nla.2095","title":"A stabilized multigrid solver for hyperelastic image registration","year":2017,"lang":"en","type":"article","venue":"Numerical Linear Algebra with Applications","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multigrid method; Discretization; Mathematics; Hyperelastic material; Hessian matrix; Solver; Applied mathematics; Mathematical optimization; Regularization (linguistics); Partial differential equation; Finite element method; Computer science; Mathematical analysis; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001124031,0.0002029523,0.0002621024,0.00003653437,0.0004010044,0.00008587804,0.0003511234,0.00007217741,0.00002870027],"category_scores_gemma":[0.0004543037,0.0001762116,0.00007441636,0.0001176768,0.0001759891,0.0002194384,0.00003368462,0.000177997,0.00007305981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005649236,"about_ca_system_score_gemma":0.00003008782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002126833,"about_ca_topic_score_gemma":0.00000121198,"domain_scores_codex":[0.9989142,0.00001488111,0.000319606,0.0002919232,0.0002039232,0.0002554448],"domain_scores_gemma":[0.9981182,0.0007151106,0.0001552928,0.0006948163,0.0001789425,0.0001377035],"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":[0.0006172622,0.001569394,0.0009781534,0.002002475,0.0006870834,0.00001153131,0.0006345133,0.3487495,0.02797963,0.313861,0.003617127,0.2992923],"study_design_scores_gemma":[0.00106567,0.0001065762,0.0007828866,0.00003267607,0.00007835233,0.00001218917,0.00003186977,0.9111336,0.001852824,0.05579509,0.02864572,0.0004625286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001059916,0.00003315611,0.9954991,0.0002857624,0.00007202355,0.001045052,0.00005256864,0.0003764655,0.001575947],"genre_scores_gemma":[0.1540336,0.000007248706,0.8440808,0.00004228325,0.0002105558,0.001455145,0.00003474789,0.00006507293,0.00007049792],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5623841,"threshold_uncertainty_score":0.71857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607809847944596,"score_gpt":0.3188376433450104,"score_spread":0.2927595448655644,"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."}}