{"id":"W2085137187","doi":"10.1016/j.cpc.2015.03.019","title":"Parallel finite element technique using Gaussian belief propagation","year":2015,"lang":"en","type":"article","venue":"Computer Physics Communications","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Multi-core processor; Parallel computing; Finite element method; Belief propagation; Multigrid method; Parallel algorithm; Computation; CUDA; Computational science; Algorithm; Mathematics; Decoding methods; Partial differential equation","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":[],"consensus_categories":[],"category_scores_codex":[0.0005720679,0.0002182429,0.0002076364,0.0001237199,0.0003433996,0.0002259038,0.003267203,0.00007375648,7.937406e-7],"category_scores_gemma":[0.00002965992,0.0002333963,0.00008438641,0.0007452379,0.0001078925,0.0007241925,0.003523253,0.000365509,0.00003420134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002245939,"about_ca_system_score_gemma":0.0002303654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007664676,"about_ca_topic_score_gemma":0.00001203078,"domain_scores_codex":[0.9983155,0.0003104021,0.0003872312,0.0003761035,0.0003164375,0.0002943403],"domain_scores_gemma":[0.9952797,0.000158113,0.0002508393,0.003786175,0.0003817654,0.0001433778],"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":[0.000007574199,0.001038068,0.001218131,0.00004375484,0.00008858722,0.00000867191,0.006263579,0.02723958,0.002809724,0.7928609,0.004977032,0.1634444],"study_design_scores_gemma":[0.0001669903,0.00009060337,0.00008839481,0.00007089492,0.00000914964,0.00001638729,0.00001412787,0.9376311,0.0008538467,0.05900044,0.00178609,0.0002720059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001208801,0.00008815133,0.9939809,0.001145578,0.0001951308,0.0006632172,0.000002248966,0.001101191,0.002702719],"genre_scores_gemma":[0.1838234,0.00001248686,0.8155946,0.000220371,0.0001106848,0.0001731144,0.0000204554,0.00002175357,0.00002314335],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9103915,"threshold_uncertainty_score":0.9517624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030652158824754,"score_gpt":0.3282591246133146,"score_spread":0.2251939087308392,"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."}}