{"id":"W2036054645","doi":"10.1016/s0306-4549(02)00094-4","title":"Acceleration techniques for trajectory-based deterministic 3D transport solvers","year":2002,"lang":"en","type":"article","venue":"Annals of Nuclear Energy","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Computer science; Isotropy; Collision; Domain decomposition methods; Acceleration; Boundary (topology); Algorithm; Mathematical optimization; Trajectory; Applied mathematics; Mathematical analysis; Mathematics; Physics; Classical mechanics","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":[0.00003473018,0.0001262027,0.000161042,0.00007639874,0.00002999874,0.00001228845,0.0001018168,0.00006800304,0.00009506236],"category_scores_gemma":[0.000004540436,0.0001407305,0.000103024,0.00008295375,0.00001775963,0.00009896963,0.000003164447,0.00004925899,0.000003808963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009843161,"about_ca_system_score_gemma":0.000003040731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001178841,"about_ca_topic_score_gemma":0.000003188897,"domain_scores_codex":[0.9994436,0.000003353588,0.0001730445,0.0001060455,0.00008819863,0.0001857662],"domain_scores_gemma":[0.9997045,0.00001989724,0.00002586268,0.0001458125,0.00005095517,0.00005294304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008321962,0.0003656705,0.00002099705,0.0008325182,0.0003126957,0.00002368083,0.0007436051,0.1198808,0.427222,0.02950219,0.03997356,0.3810391],"study_design_scores_gemma":[0.0001885659,0.00016383,0.0001068156,0.00004723028,0.00001834143,0.000001320519,0.00001099848,0.526482,0.03100907,0.0001099084,0.4415794,0.0002824996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5572361,0.001337133,0.232738,0.001163016,0.002187621,0.001329032,0.000450276,0.007639178,0.1959197],"genre_scores_gemma":[0.996858,0.0001003091,0.002648992,0.0001750012,0.00008849136,0.00001098811,0.00001231148,0.00008338544,0.00002253734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4396219,"threshold_uncertainty_score":0.5738824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301468726506059,"score_gpt":0.2307392074220913,"score_spread":0.1877245201570307,"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."}}