{"id":"W2082083387","doi":"10.1109/ccece.2012.6334971","title":"2.5D finite element method for electrical impedance tomography considering the complete electrode model","year":2012,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Finite element method; Electrical impedance tomography; Electrical impedance; Mixed finite element method; Extended finite element method; Computer science; Invariant (physics); Boundary value problem; Mathematical analysis; Applied mathematics; Algorithm; Mathematics; Structural engineering; Engineering; Electrical 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":[0.000329223,0.0005543286,0.0006840074,0.0004360107,0.0002144853,0.0005330964,0.001080373,0.001388093,0.003994848],"category_scores_gemma":[0.00084107,0.0003451175,0.0006131957,0.0003843,0.0003456463,0.0006823722,0.0006691569,0.0007563348,0.00200744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757469,"about_ca_system_score_gemma":0.0004981359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178001,"about_ca_topic_score_gemma":0.001336423,"domain_scores_codex":[0.9997392,0.00008370796,0.00001389326,0.00003062931,0.0001204187,0.00001215306],"domain_scores_gemma":[0.9998216,0.00008427518,0.00001450742,0.00002567739,0.00004642715,0.000007492691],"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":[0.00006470804,0.00006493206,0.0006242419,0.0003628347,0.0000386775,0.000283904,0.0002200651,0.7670418,0.04615197,0.06835677,0.002851567,0.1139385],"study_design_scores_gemma":[0.000005037718,0.00001564428,0.0000656017,0.00001850494,0.000004050322,0.00008735002,0.0000102293,0.989396,0.001612247,0.003091848,0.005684191,0.000009180628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001176561,0.0001003876,0.9968888,0.00004211068,0.00002240548,0.00001910659,0.00005285461,0.000118846,0.001578831],"genre_scores_gemma":[0.091101,0.0006048448,0.9008257,0.0001378968,0.00004601993,0.0004027802,0.0003262157,0.0001147846,0.006440741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003994848,"threshold_uncertainty_score":0.01336414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116888211734255,"score_gpt":0.2639937385735027,"score_spread":0.2328248564561601,"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."}}