{"id":"W1553536416","doi":"10.1109/iembs.2006.259450","title":"A Software Framework for Solving Bioelectrical Field Problems Based on Finite Elements","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Finite element method; Interpolation (computer graphics); Computer science; Smoothed finite element method; Electromagnetic field; Discretization; Applied mathematics; Mixed finite element method; Extended finite element method; Boundary value problem; Computational science; Boundary knot method; Algorithm; Boundary element method; Mathematics; Mathematical analysis; Engineering; Physics; Artificial intelligence; Structural engineering","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":[0.001258904,0.001378576,0.001350507,0.001254519,0.0008588016,0.001273363,0.003386753,0.001581045,0.01535507],"category_scores_gemma":[0.002348922,0.001059544,0.002083319,0.001055836,0.0007390068,0.001342747,0.001774219,0.002395389,0.005570401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005273266,"about_ca_system_score_gemma":0.00167668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002947997,"about_ca_topic_score_gemma":0.003375847,"domain_scores_codex":[0.9995427,0.00006821848,0.00006467517,0.00005576422,0.000237001,0.00003166418],"domain_scores_gemma":[0.9992507,0.0004046756,0.00004171264,0.00009439715,0.0001645887,0.00004383617],"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":[0.0002522121,0.0002751173,0.001428429,0.002041001,0.0004532753,0.0008462762,0.0007476774,0.3610448,0.04928537,0.1346817,0.0490585,0.3998857],"study_design_scores_gemma":[0.0002153671,0.00009848487,0.0004951269,0.0002510607,0.00009808809,0.0007113214,0.00005526941,0.7586446,0.01604027,0.05155263,0.1717339,0.0001039784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005726363,0.0001051411,0.9868303,0.00004124326,0.00003484277,0.00007796819,0.0002976535,0.01066967,0.001370667],"genre_scores_gemma":[0.01959257,0.0005825229,0.9684886,0.0001232785,0.00004168397,0.001231687,0.002091951,0.003377057,0.004470609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01535507,"threshold_uncertainty_score":0.05136788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009799769478128507,"score_gpt":0.2197787990561069,"score_spread":0.2099790295779784,"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."}}