{"id":"W43115652","doi":"10.1023/a:1021975414321","title":"Factorised Preconditionings of Successive Approximations in Finite Precision","year":2001,"lang":"en","type":"article","venue":"BIT Numerical Mathematics","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Linear map; Mathematics; Operator (biology); Matrix (chemical analysis); Applied mathematics; Transformation (genetics); Linear system; System of linear equations; Transformation matrix; Numerical analysis; Computer science; Calculus (dental); Mathematical analysis; Pure mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002443972,0.0001110924,0.000237863,0.0001367428,0.00004960972,0.0000509881,0.0005093714,0.00005855871,0.000134826],"category_scores_gemma":[0.0004346297,0.00009440345,0.00006372701,0.0007032973,0.00003677572,0.0003637489,0.0001129969,0.0001088162,0.00005637513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000226885,"about_ca_system_score_gemma":0.00002749387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005174393,"about_ca_topic_score_gemma":4.776314e-7,"domain_scores_codex":[0.9989116,0.00005627747,0.0004284028,0.0001922244,0.0002331025,0.0001784329],"domain_scores_gemma":[0.9984075,0.0008876587,0.0002235005,0.0003547192,0.00006436145,0.00006219158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002895183,0.002532678,0.001709094,0.0004198938,0.00005063843,0.00005084525,0.01325708,0.004160499,0.001169374,0.9120293,0.0003622317,0.06422942],"study_design_scores_gemma":[0.0004824467,0.0001072431,0.0008474367,0.0001534004,0.000007556363,0.0000165263,0.0001449389,0.651859,0.002255576,0.3432856,0.000603865,0.000236346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02312528,0.00002439599,0.9733028,0.000153134,0.00008530551,0.0001931283,0.00000518656,0.00006419901,0.00304656],"genre_scores_gemma":[0.8043351,0.00001195597,0.1953019,0.00003156434,0.00002465422,0.00002754734,0.000004185199,0.000008246396,0.0002548026],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7812099,"threshold_uncertainty_score":0.3849661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673602398436708,"score_gpt":0.2588486463489453,"score_spread":0.2421126223645783,"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."}}