{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000548779,0.0003148975,0.0003143832,0.0001715695,0.0002041637,0.00005019976,0.0002882023,0.00009907402,0.00003111963],"category_scores_gemma":[0.0000438879,0.0002130019,0.0003300205,0.000851296,0.00004319907,0.0001693318,0.00003376027,0.0003341069,0.00001162292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005009921,"about_ca_system_score_gemma":0.00001897985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001162908,"about_ca_topic_score_gemma":0.00001560991,"domain_scores_codex":[0.9978255,0.00005044616,0.0003815374,0.000253243,0.0002494864,0.001239788],"domain_scores_gemma":[0.9987147,0.0006711512,0.0000458286,0.0003150336,0.00006229497,0.0001909444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003050121,0.0005966224,0.008050863,0.0004172522,0.001629829,0.000004224103,0.001046326,0.2095425,0.3579836,0.1701775,0.07372319,0.1765231],"study_design_scores_gemma":[0.0003683033,0.0001033423,0.0002526478,0.000005955993,0.00006633853,0.00001209354,0.00001098923,0.9496968,0.02748436,0.004143024,0.0174761,0.0003800369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008537156,0.003062809,0.9845651,0.000357788,0.0001391557,0.0006384417,0.00003005082,0.0005704872,0.002098952],"genre_scores_gemma":[0.8655988,0.0002410328,0.1324127,0.0009720853,0.0002823999,0.0003177153,0.00001515081,0.00005762616,0.0001024289],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8570617,"threshold_uncertainty_score":0.8685964,"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."}}