{"id":"W1962717272","doi":"10.1016/j.pnucene.2015.08.001","title":"Partitioned-Matrix acceleration to the Fission-Source iteration of the Variational Nodal Method","year":2015,"lang":"en","type":"article","venue":"Progress in Nuclear Energy","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Safety Commission","funders":"National Natural Science Foundation of China","keywords":"Neutron transport; Neutron flux; Discontinuity (linguistics); Basis function; Fission; Homogenization (climate); Applied mathematics; Physics; Neutron; Mathematical analysis; Computer science; Mathematical optimization; Mathematics; Nuclear 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008466339,0.0006596545,0.0006868604,0.0005329715,0.0004504079,0.0006571145,0.001329323,0.0007256271,0.00934902],"category_scores_gemma":[0.003371553,0.0003105282,0.0005572949,0.0004882644,0.001197753,0.0007838212,0.001646594,0.001337027,0.001108622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008000123,"about_ca_system_score_gemma":0.001202459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005693552,"about_ca_topic_score_gemma":0.009259571,"domain_scores_codex":[0.9996843,0.0001731724,0.000007861303,0.00002980726,0.00007170434,0.00003307542],"domain_scores_gemma":[0.9992638,0.000357525,0.00003588088,0.00008129521,0.0001983698,0.00006318826],"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":[0.0002646516,0.0001041267,0.0005295218,0.000181014,0.00005343489,0.0001166076,0.0002519829,0.4485368,0.005825651,0.4813975,0.005059437,0.05767923],"study_design_scores_gemma":[0.00001820302,0.00002006092,0.00007531815,0.00001215747,0.000004368987,0.00001215567,0.0000229355,0.9407402,0.000634959,0.05593403,0.002519118,0.00000647261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02063546,0.0002092558,0.9674594,0.0002966532,0.0002213938,0.00004799906,0.00007747552,0.0001502276,0.01090218],"genre_scores_gemma":[0.5075488,0.0004161835,0.4559543,0.0002792059,0.0002154729,0.0002581996,0.0002530539,0.0007433626,0.03433144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00934902,"threshold_uncertainty_score":0.03127557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175814431976059,"score_gpt":0.244191744666909,"score_spread":0.2324336003471484,"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."}}