{"id":"W2137240018","doi":"10.1109/iembs.2007.4352901","title":"Novel Lead Configurations for Robust Bio-Impedance Acquisition","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto; Tetra Tech (Canada)","funders":"","keywords":"Multiplexer; Capacitive sensing; Electrical impedance; Multiplexing; Computer science; Electronic engineering; Shunt (medical); Focused Impedance Measurement; Fidelity; Imaging phantom; Biomedical engineering; Medical physics; Electrical engineering; Engineering; Medicine; Telecommunications; Surgery; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001789118,0.0001715226,0.0001565384,0.0001403215,0.0001127689,0.00009253421,0.0001644237,0.0001199704,0.00003140369],"category_scores_gemma":[0.000035285,0.0001635902,0.00007528957,0.0004439013,0.00006232043,0.0002690632,0.00001030947,0.0001408262,0.00001923915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000373867,"about_ca_system_score_gemma":0.00001844729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003135263,"about_ca_topic_score_gemma":0.000006395715,"domain_scores_codex":[0.9989845,6.250021e-7,0.0002377958,0.0002201263,0.0001314538,0.0004254653],"domain_scores_gemma":[0.9994287,0.00004462177,0.00004395856,0.00006114208,0.0003244408,0.00009712591],"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":[0.00003388857,0.00005048874,0.000845494,0.0001774236,0.00002976001,4.901142e-7,0.0003444446,0.00004116898,0.9376743,0.02330695,0.002907337,0.03458824],"study_design_scores_gemma":[0.00211259,0.0005589632,0.0208594,0.00028525,0.0001141288,0.00005173746,0.0009298182,0.2790952,0.6680839,0.006147344,0.0201658,0.001595855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1915066,0.0002670701,0.7906556,0.000316601,0.0002516724,0.0005051687,0.00002965495,0.0007316551,0.015736],"genre_scores_gemma":[0.9877214,0.00005290574,0.01159826,0.0001153658,0.0002215546,0.00006444397,0.00001782843,0.00002308702,0.0001851808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7962148,"threshold_uncertainty_score":0.6671013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823244806176784,"score_gpt":0.2383242522568341,"score_spread":0.2100918041950662,"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."}}