{"id":"W1973223598","doi":"10.1080/00207160701576103","title":"A parallel adaptive finite-element package based on ALBERTA","year":2008,"lang":"en","type":"article","venue":"International Journal of Computer Mathematics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scalability; Finite element method; Computer science; Computational science; Parallel computing; Computation; Toolbox; Key (lock); Adaptive mesh refinement; Distributed memory; Computer engineering; Algorithm; Shared memory; Programming language; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002097697,0.0002116204,0.0003405168,0.000240067,0.00003666555,0.00002975635,0.0005574057,0.00005212654,0.00006764914],"category_scores_gemma":[0.0002308382,0.0001827589,0.0001826486,0.0001205936,0.00005348265,0.0001417455,0.00004999131,0.0002703214,0.00005238179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491365,"about_ca_system_score_gemma":0.00004273703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.745698e-7,"about_ca_topic_score_gemma":2.648322e-7,"domain_scores_codex":[0.9980621,0.00004153627,0.0007805707,0.0001026873,0.0008476457,0.0001654425],"domain_scores_gemma":[0.9964808,0.002503766,0.000334061,0.0001784456,0.0003999982,0.0001029885],"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":[0.00003268545,0.0002712849,0.00002239565,0.00003117351,0.000175268,0.000130968,0.0006151967,0.9863184,0.00001767887,0.00635511,0.001493199,0.00453662],"study_design_scores_gemma":[0.0007009232,0.0002312253,0.00007475878,0.0002258234,0.00001512454,0.0002187777,0.00002093859,0.9624176,0.0002591423,0.03439766,0.001260342,0.0001776553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002452305,0.00002499022,0.9942493,0.0002295881,0.001126762,0.0001004063,0.000007457661,0.00004739264,0.001761794],"genre_scores_gemma":[0.1931322,0.00002195448,0.8060564,0.00029694,0.0004161962,0.000004443593,0.000002455585,0.00003607873,0.00003333416],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1906799,"threshold_uncertainty_score":0.7452693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03681951002409145,"score_gpt":0.2961535995969111,"score_spread":0.2593340895728196,"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."}}