{"id":"W2151560129","doi":"10.1002/wics.1269","title":"Sparse matrix computations with application to solve system of nonlinear equations","year":2013,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews Computational Statistics","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"HORIZON EUROPE Excellent Science; Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd","keywords":"Sparse matrix; Matrix-free methods; Nonlinear system; Linear algebra; Computer science; Applied mathematics; Numerical linear algebra; Numerical analysis; Nonlinear programming; Algorithm; Matrix (chemical analysis); Mathematical optimization; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007456825,0.0007760904,0.002460806,0.0005630318,0.0003833192,0.0002195411,0.001740756,0.0001837233,0.0000393146],"category_scores_gemma":[0.0000804292,0.0006022046,0.0004088244,0.001541793,0.0001478631,0.0003513201,0.001181747,0.0004218764,0.001574149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002949691,"about_ca_system_score_gemma":0.0004935019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001236345,"about_ca_topic_score_gemma":0.000006099121,"domain_scores_codex":[0.9950362,0.0004221243,0.002442461,0.0009830311,0.0006839805,0.0004321646],"domain_scores_gemma":[0.9943677,0.001632567,0.001915543,0.001048945,0.0007063262,0.0003289838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004461045,0.0001569238,2.971255e-7,0.01253731,0.0001562826,0.00001254861,0.0002629414,0.01410121,8.891271e-8,0.2597584,0.002969286,0.7100403],"study_design_scores_gemma":[0.0002667243,0.0004266362,0.000002076747,0.02188112,0.0006613822,0.000221423,0.00006898896,0.5285223,2.414836e-7,0.009433908,0.4375282,0.0009870457],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[1.473558e-7,0.395976,0.6000762,0.00004242727,0.0002091745,0.002522834,0.0009439378,0.0001030625,0.0001262541],"genre_scores_gemma":[0.000005743874,0.2849733,0.7120887,0.0000262542,0.0001755019,0.0009353535,0.001634718,0.00005872883,0.0001017301],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7090533,"threshold_uncertainty_score":0.9996429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407346301733776,"score_gpt":0.3558509177304233,"score_spread":0.3151162875570457,"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."}}