{"id":"W2163162343","doi":"10.1109/iembs.1995.575251","title":"Electrical impedance tomography: characterization of in-vitro performance","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Electrical impedance tomography; Electrical impedance; Tomography; Electrical resistivity and conductivity; Position (finance); Conductivity; Amplitude; Plane (geometry); Image plane; Materials science; Electrical resistivity tomography; Acoustics; Biomedical engineering; Electrode; Optics; Image (mathematics); Computer science; Mathematics; Physics; Artificial intelligence; Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001525631,0.000639854,0.0006408148,0.0003993884,0.0002412346,0.000941302,0.0007009205,0.001220399,0.001112604],"category_scores_gemma":[0.007673038,0.0003878547,0.0002686816,0.0005682043,0.0006050187,0.001373034,0.0004208062,0.0005285398,0.0005717387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000474228,"about_ca_system_score_gemma":0.0002966591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007262428,"about_ca_topic_score_gemma":0.0005702681,"domain_scores_codex":[0.998806,0.0004427352,0.0001085362,0.000158305,0.0004117311,0.00007269066],"domain_scores_gemma":[0.9957662,0.00273249,0.0003666928,0.0004152213,0.0006352438,0.00008421927],"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":[0.0001965878,0.00005420936,0.002005244,0.0002382161,0.00003087021,0.0001181535,0.0001446868,0.002443787,0.9824814,0.0003528034,0.0001964188,0.0117375],"study_design_scores_gemma":[0.00001666795,0.0003970083,0.004050784,0.00001714445,0.00003829381,0.0005102427,0.00005753787,0.0163047,0.9759552,0.0002433331,0.00238589,0.00002321926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4293496,0.004996019,0.5599847,0.0008975117,0.000195717,0.0001889448,0.0006753061,0.0009479048,0.002764242],"genre_scores_gemma":[0.9324501,0.003401614,0.06048035,0.0002205456,0.00008175962,0.0001633528,0.0006624898,0.0001635252,0.002376154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001525631,"threshold_uncertainty_score":0.008068383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005931258395576907,"score_gpt":0.1679619895792445,"score_spread":0.1620307311836676,"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."}}