{"id":"W1981259519","doi":"10.1088/0967-3334/29/6/s07","title":"Reconstruction of conductivity changes and electrode movements based on EIT temporal sequences","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Iterative reconstruction; Temporal resolution; Jacobian matrix and determinant; Image resolution; Noise (video); Imaging phantom; Computer vision; Artificial intelligence; Computer science; Regularization (linguistics); Image (mathematics); Tomography; Mathematics; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000398315,0.0004266644,0.0003093362,0.0004336162,0.0001038252,0.0005511774,0.0003552369,0.0006916546,0.0007687488],"category_scores_gemma":[0.003007677,0.0003267799,0.0003421089,0.000498481,0.0003689259,0.0006537458,0.0003367841,0.0005836647,0.0002629945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207941,"about_ca_system_score_gemma":0.000425989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009310069,"about_ca_topic_score_gemma":0.0009731093,"domain_scores_codex":[0.9998661,0.00002936067,0.00001051692,0.00002794597,0.0000567283,0.000009315399],"domain_scores_gemma":[0.9996574,0.0001438137,0.00006373507,0.00004607824,0.00007143723,0.00001752305],"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":[0.0005394566,0.00008059452,0.003145184,0.0002747809,0.00005253371,0.0007774485,0.0002935899,0.4873378,0.2283406,0.01235797,0.001375396,0.2654246],"study_design_scores_gemma":[0.00001786867,0.00006188637,0.001606187,0.00001930895,0.00001561257,0.0008032588,0.0000355449,0.9453148,0.04751812,0.002875974,0.00170734,0.00002422052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03654052,0.0001490056,0.9621639,0.0001402046,0.00002686588,0.00002021708,0.00004977787,0.0002390603,0.0006704091],"genre_scores_gemma":[0.3665569,0.0007768925,0.6294503,0.0001150665,0.00004173008,0.0000673836,0.0002662198,0.000111724,0.002613769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009310069,"threshold_uncertainty_score":0.002571702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07860685146726769,"score_gpt":0.2226549016365698,"score_spread":0.1440480501693022,"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."}}