{"id":"W2105466629","doi":"10.1109/tmag.2004.825447","title":"Parallel and Distributed Processing for&amp;lt;tex&amp;gt;$hhbox-p$&amp;lt;/tex&amp;gt;Adaptive Finite-Element Analysis: A Comparison of Simulated and Empirical Studies","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Workstation; Computer science; Finite element method; Parallel computing; Computational science; Parallel processing; Physics; Operating system","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":[0.000695528,0.0004249482,0.0003446469,0.0002653249,0.0003289817,0.0007466161,0.000854624,0.0003597798,0.01152725],"category_scores_gemma":[0.002453263,0.0001556036,0.000182019,0.0007876314,0.000472544,0.0007441481,0.0004361465,0.0004366983,0.001710258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004007837,"about_ca_system_score_gemma":0.0005854141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542868,"about_ca_topic_score_gemma":0.001806157,"domain_scores_codex":[0.9995794,0.00009336778,0.00001930268,0.00006945177,0.0002096596,0.00002894341],"domain_scores_gemma":[0.9988494,0.0004255609,0.00005603159,0.0002911707,0.0003435426,0.00003429271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001307577,0.0003350274,0.002862894,0.0005611979,0.00006912994,0.0003470835,0.0002972824,0.24959,0.05112799,0.05480094,0.02210943,0.6165915],"study_design_scores_gemma":[0.0001931801,0.0002963835,0.001327516,0.0000404743,0.00003562799,0.0003194365,0.00009094298,0.8766195,0.0570698,0.01817817,0.0458016,0.00002749082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07168622,0.0008283473,0.8876922,0.0006673557,0.0001914161,0.0001719478,0.0002574198,0.003560264,0.0349448],"genre_scores_gemma":[0.5399148,0.0008027749,0.4318058,0.0001517559,0.00006888775,0.0003281825,0.0006108721,0.0005329056,0.02578408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01152725,"threshold_uncertainty_score":0.03856248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09008976520797501,"score_gpt":0.3771299852841293,"score_spread":0.2870402200761543,"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."}}