{"id":"W2584946974","doi":"10.3390/s17020280","title":"A Versatile and Reproducible Multi-Frequency Electrical Impedance Tomography System","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; Medical Research Council Canada","keywords":"Electrical impedance tomography; Resistor; Electrical impedance; Computer science; Current source; Software; Electrode; Voltage source; Voltage; Bandwidth (computing); Electronic engineering; Computer hardware; Materials science; Biomedical engineering; Electrical engineering; Physics; Engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001621498,0.0007531924,0.000852204,0.001047546,0.0004151507,0.0006885395,0.001306122,0.0009102833,0.006304726],"category_scores_gemma":[0.001783166,0.0005847917,0.0004043938,0.0007412537,0.0006092588,0.0009642071,0.001723709,0.001020247,0.002965319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953136,"about_ca_system_score_gemma":0.0008702957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003271349,"about_ca_topic_score_gemma":0.0007446365,"domain_scores_codex":[0.9982008,0.0002095522,0.0001586164,0.0005002478,0.0008364713,0.00009436021],"domain_scores_gemma":[0.9988575,0.0002321762,0.0001594432,0.0003488199,0.0002869685,0.0001150825],"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":[0.0001590111,0.00004955776,0.0007571953,0.0001914884,0.00001847765,0.0001724107,0.00008439937,0.000475141,0.9472516,0.0009800064,0.002227975,0.0476328],"study_design_scores_gemma":[0.0001495632,0.001073675,0.01344306,0.00009599972,0.0001105665,0.006088552,0.000101007,0.01610371,0.8559754,0.0008946719,0.1057968,0.0001667932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04233138,0.0007250091,0.9460048,0.0002975749,0.0001997858,0.0009152449,0.001072134,0.006006188,0.002447814],"genre_scores_gemma":[0.1908846,0.00107201,0.7901553,0.0004221399,0.0001435092,0.002796515,0.001754063,0.0006984745,0.0120733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006304726,"threshold_uncertainty_score":0.02109134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114742461904986,"score_gpt":0.2200477197013598,"score_spread":0.20890029508231,"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."}}