{"id":"W2040795621","doi":"10.1088/0967-3334/27/5/s09","title":"Imaging of conductivity changes and electrode movement in EIT","year":2006,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Jacobian matrix and determinant; Electrode; Smoothness; Imaging phantom; Electrical impedance; Electrical resistivity tomography; Iterative reconstruction; Acoustics; Tomography; Computer science; Materials science; Computer vision; Physics; Mathematics; Optics; Electrical resistivity and conductivity; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001697723,0.0001074518,0.0001794964,0.00005481922,0.00001479064,0.000004858459,0.00005295121,0.00002612982,0.000008282205],"category_scores_gemma":[0.00000857744,0.00007921842,0.0000299269,0.000184192,0.00004075602,0.00002790474,0.00001619811,0.00009550402,7.868761e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004579501,"about_ca_system_score_gemma":0.000003022327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007383136,"about_ca_topic_score_gemma":0.00006974856,"domain_scores_codex":[0.9992763,0.00002607082,0.0001362705,0.0001471845,0.0001832173,0.0002310022],"domain_scores_gemma":[0.9998401,0.00001227274,0.00002120837,0.00007037967,0.00003034411,0.0000257437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008504486,0.00009245883,0.006219771,0.00003564668,0.000008063654,9.723828e-7,0.000005950494,0.0002721521,0.9842591,0.0003863559,0.0001332477,0.008577822],"study_design_scores_gemma":[0.0004240545,0.0001758863,0.488363,0.00003696639,0.000009770814,7.460634e-7,0.000009332068,0.003331172,0.4928438,0.01445773,0.0001230269,0.0002245101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963696,0.002549408,0.0001739998,0.0001135597,0.00002787052,0.0001299984,0.000001832221,0.00006285268,0.0005708855],"genre_scores_gemma":[0.999651,0.0001143596,0.000112294,0.00004400867,0.00004393817,0.00002630085,0.00000135411,0.000005063597,0.000001679421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4914153,"threshold_uncertainty_score":0.3230434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591153118937126,"score_gpt":0.2029658774943447,"score_spread":0.1770543463049735,"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."}}