{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001153557,0.0006194079,0.0007890873,0.0009477856,0.0000289921,0.0000262276,0.0003475717,0.0004841862,0.00005546237],"category_scores_gemma":[0.0000414117,0.0005967786,0.0002561392,0.002028182,0.00005374233,0.00008508105,0.00004039265,0.0008706459,0.00002471359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000687664,"about_ca_system_score_gemma":0.00006076383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000171984,"about_ca_topic_score_gemma":0.000005970301,"domain_scores_codex":[0.9974288,0.00002121676,0.0004834344,0.0005068649,0.000366935,0.001192699],"domain_scores_gemma":[0.9991205,0.0001310297,0.0000949748,0.0003632834,0.00003265149,0.0002575362],"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":[0.0001418705,0.0005389445,0.005385937,0.002508257,0.002186497,0.00006546137,0.0001384551,0.003028791,0.02508482,0.06749333,0.4137996,0.4796281],"study_design_scores_gemma":[0.000847263,0.0007625665,0.0004808047,0.0002669109,0.0001771852,0.00005854445,0.00000146197,0.05975183,0.002058108,0.0004569137,0.9335388,0.001599611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.008129078,0.4240143,0.01034433,0.00006221373,0.00092725,0.001273091,0.00004620769,0.003614512,0.551589],"genre_scores_gemma":[0.3881349,0.5154634,0.008167401,0.000184517,0.002410086,0.0002854685,0.00007880943,0.003343094,0.0819324],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5197393,"threshold_uncertainty_score":0.9996483,"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."}}