{"id":"W4301385812","doi":"","title":"Hard faults and soft errors: possible numerical remedies in linear algebra solvers","year":2016,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Linear algebra; Computer science; Algebra over a field; Numerical linear algebra; Algorithm; Applied mathematics; Linear system; Mathematics; Pure mathematics; Mathematical analysis; Geometry","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":[0.004455464,0.0009776638,0.001239328,0.001114731,0.001022728,0.002846082,0.002243107,0.002079746,0.009198078],"category_scores_gemma":[0.05622848,0.0005363735,0.000647405,0.0009857457,0.002675179,0.003910687,0.002848864,0.00303412,0.001105741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005083016,"about_ca_system_score_gemma":0.00108421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005965261,"about_ca_topic_score_gemma":0.0008085765,"domain_scores_codex":[0.9963601,0.001454003,0.000227293,0.0003295552,0.001287628,0.0003413488],"domain_scores_gemma":[0.9784979,0.01090723,0.001571403,0.005488988,0.002771924,0.0007624528],"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":[0.001625489,0.0003977598,0.006733069,0.001233822,0.0002169573,0.0008654324,0.001111093,0.2395719,0.009827944,0.3326948,0.01157952,0.3941422],"study_design_scores_gemma":[0.00009373284,0.0002421013,0.0007603657,0.0002140697,0.00005467941,0.0003289609,0.0002504759,0.6105389,0.009097648,0.3735117,0.004854654,0.00005276627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09640417,0.00247544,0.8738312,0.006148501,0.001577314,0.00009237896,0.00008699694,0.002734686,0.01664942],"genre_scores_gemma":[0.8517863,0.0007625693,0.1387922,0.000635327,0.000524843,0.00005683315,0.00008685662,0.0005820241,0.006773164],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009198078,"threshold_uncertainty_score":0.0307706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603705846315263,"score_gpt":0.2482776919323049,"score_spread":0.2322406334691523,"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."}}