{"id":"W4252223772","doi":"10.1002/cpe.1508","title":"StgDomain—scalable parallel domain software components for particle‐in‐cell finite element methods","year":2009,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Government; National Cancer Research Institute; University of Canterbury; Monash University; Ontario Ministry of Natural Resources and Forestry","keywords":"Computer science; Finite element method; Scalability; Computational science; Domain (mathematical analysis); Parallel computing; Software; Programming language; Mathematics; Engineering; Structural engineering; Operating system; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009438755,0.0007495364,0.0005019131,0.0006676545,0.0004176158,0.001109278,0.001988331,0.0005943856,0.005980458],"category_scores_gemma":[0.003959828,0.0003798747,0.000446912,0.0005841444,0.0005483426,0.001275776,0.002004305,0.0008363681,0.001525629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004969654,"about_ca_system_score_gemma":0.001058244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826586,"about_ca_topic_score_gemma":0.001688364,"domain_scores_codex":[0.9993312,0.0001440519,0.00004447613,0.00006581168,0.0003620036,0.00005243813],"domain_scores_gemma":[0.998502,0.0005411875,0.0001177233,0.0003708146,0.0003626908,0.0001056063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009061948,0.000376161,0.006434166,0.0003334539,0.0001465061,0.000372548,0.0005493729,0.5245457,0.04213576,0.05351673,0.02656497,0.3441184],"study_design_scores_gemma":[0.00005693602,0.00004282308,0.0003072173,0.00001236047,0.000007729911,0.0000346607,0.00002307461,0.9764227,0.009841669,0.003972837,0.009265377,0.000012688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04935844,0.0001809467,0.9212639,0.0001466516,0.00008894975,0.0002179819,0.0003100394,0.02066409,0.007768961],"genre_scores_gemma":[0.4737174,0.0002116345,0.5148529,0.0001065823,0.00002954691,0.0005353367,0.001532701,0.00295599,0.006057809],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005980458,"threshold_uncertainty_score":0.02000666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04844471670493381,"score_gpt":0.3930652425231359,"score_spread":0.3446205258182021,"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."}}