{"id":"W4387048167","doi":"10.1117/12.3006741","title":"Eigenvalue solution of sparse matrix based on MPETSc","year":2023,"lang":"en","type":"article","venue":"","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Scalability; Sparse matrix; Supercomputer; Parallel computing; Eigenvalues and eigenvectors; Computational science; Field (mathematics); Software; Parallel processing; Parallel algorithm; Matrix (chemical analysis); Stability (learning theory); Mathematics","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":[0.000491843,0.00006928116,0.00009117591,0.0001430234,0.00005491369,0.00002256718,0.0003886702,0.0000331537,0.0001357358],"category_scores_gemma":[0.00002805711,0.00005768619,0.00005858689,0.0005543582,0.00002255626,0.0001113691,0.00008542537,0.00004909363,0.0006853067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000103296,"about_ca_system_score_gemma":0.00003651641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001091526,"about_ca_topic_score_gemma":0.000001020881,"domain_scores_codex":[0.9992344,0.00006211876,0.0001379317,0.0001862459,0.0002087795,0.0001705576],"domain_scores_gemma":[0.9993754,0.0001125566,0.00004348802,0.0003963862,0.00002738848,0.00004475546],"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":[0.00001985348,0.0001149984,0.0001128056,0.00004307042,0.000008904533,0.00002718518,0.0001460542,0.01215451,0.003249135,0.9480634,0.007317862,0.02874227],"study_design_scores_gemma":[0.0002184733,0.00009727306,0.0004956467,0.00001345848,0.000002139253,0.000001350373,0.000008832173,0.9668508,0.01837705,0.01174614,0.002094686,0.00009412945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01181695,0.00001086306,0.9655779,0.001088646,0.0004668536,0.0001272043,0.000004191755,0.0004852705,0.02042212],"genre_scores_gemma":[0.9584619,0.000004633646,0.03603835,0.0002192321,0.00006092533,0.000006871198,0.000003995871,0.000006639103,0.005197401],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9546963,"threshold_uncertainty_score":0.880846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176630387836509,"score_gpt":0.2677491288276375,"score_spread":0.2459828249492724,"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."}}