{"id":"W2944246511","doi":"10.1002/047134608x.w1431.pub2","title":"Electrical Impedance Tomography","year":2019,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Electrical and Electronics Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Electrical resistivity tomography; Tomography; Iterative reconstruction; Image resolution; Inverse problem; Body surface; Biomedical engineering; Computer science; Electrical resistivity and conductivity; Physics; Optics; Medicine; Computer vision; Engineering; Electrical engineering; Mathematics","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":[0.0006787801,0.001029814,0.0008696785,0.002993701,0.0003937914,0.002658824,0.0008918645,0.001523311,0.02014772],"category_scores_gemma":[0.00355554,0.0004048446,0.0006373006,0.003071053,0.0006557041,0.001679124,0.001340544,0.00109865,0.01204159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005409549,"about_ca_system_score_gemma":0.0005957269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032771,"about_ca_topic_score_gemma":0.0007442456,"domain_scores_codex":[0.9986628,0.0002423853,0.0001023533,0.0003293307,0.00059826,0.00006480821],"domain_scores_gemma":[0.9989113,0.0003086334,0.0001564721,0.0001603879,0.0004186517,0.00004453395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006213151,0.0001069757,0.01543856,0.002133649,0.0002651779,0.002605316,0.0004611787,0.007387809,0.1224805,0.0184507,0.04833968,0.7817093],"study_design_scores_gemma":[0.0001843947,0.0004435907,0.02849558,0.001267766,0.0003936448,0.02143392,0.000737939,0.05816093,0.1679384,0.03051588,0.6900862,0.0003417199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03737449,0.02873209,0.8214852,0.002678628,0.001485195,0.0005004777,0.007984827,0.007894237,0.09186482],"genre_scores_gemma":[0.5218022,0.0365275,0.3033075,0.004046468,0.001348751,0.001045233,0.008858196,0.002027131,0.1210371],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02014772,"threshold_uncertainty_score":0.06740081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002268708728153062,"score_gpt":0.1714702108554021,"score_spread":0.169201502127249,"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."}}