{"id":"W2138896967","doi":"10.1109/tmag.2004.825446","title":"Practical&amp;lt;tex&amp;gt;$hhbox-p$&amp;lt;/tex&amp;gt;Adaptive Finite-Element Analysis Strategies for Irregular Triangles and Tetrahedra","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Tetrahedron; Finite element method; Scalar (mathematics); Computer science; Algorithm; Physics; Mathematics; Geometry; Thermodynamics","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":[0.000439625,0.0006458923,0.0004158102,0.0003142036,0.0002645593,0.000569457,0.001560886,0.0006980185,0.02010815],"category_scores_gemma":[0.001223173,0.0002703959,0.000308103,0.0005240099,0.0006128206,0.0007719738,0.000993581,0.000798585,0.006944279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950378,"about_ca_system_score_gemma":0.0004391565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007659657,"about_ca_topic_score_gemma":0.001464525,"domain_scores_codex":[0.999786,0.00004752187,0.000008473809,0.00002188771,0.0001233763,0.00001279563],"domain_scores_gemma":[0.9995986,0.0001823016,0.00003200361,0.0001020118,0.00006906829,0.00001596433],"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":[0.0001446621,0.00008664488,0.0006605549,0.0004628916,0.00002921487,0.0002329565,0.0002797195,0.2273482,0.05302684,0.1827235,0.02496473,0.5100401],"study_design_scores_gemma":[0.00002124926,0.00002419453,0.00009408034,0.00002301715,0.000004260638,0.0001277376,0.00002819559,0.942776,0.008397879,0.02125984,0.02723066,0.00001285317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00188291,0.000069759,0.9890202,0.00006429964,0.00002873221,0.00002800246,0.00005466775,0.0007852728,0.008066205],"genre_scores_gemma":[0.07860493,0.0003734245,0.9054404,0.0001078869,0.00004265827,0.0002480311,0.0002970784,0.0006483126,0.01423729],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02010815,"threshold_uncertainty_score":0.06726849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07359260972603814,"score_gpt":0.3458050284820468,"score_spread":0.2722124187560086,"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."}}