{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007149963,0.0007540096,0.0005375945,0.0006116583,0.0002675586,0.0009422021,0.001102666,0.0009043085,0.003118752],"category_scores_gemma":[0.002273238,0.000493572,0.0002051305,0.0005803973,0.0004546714,0.00126424,0.0009546803,0.0005807171,0.001314773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002676407,"about_ca_system_score_gemma":0.0002223896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009847129,"about_ca_topic_score_gemma":0.0002609775,"domain_scores_codex":[0.9990308,0.0002686324,0.00007401119,0.0002340161,0.0003293651,0.00006311855],"domain_scores_gemma":[0.9987012,0.0005443861,0.0001891258,0.0002382392,0.0002529668,0.00007401529],"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":[0.001098275,0.0001533916,0.002694534,0.0004903735,0.00005225452,0.000700561,0.0003868068,0.00290057,0.7221179,0.006393349,0.003223157,0.2597889],"study_design_scores_gemma":[0.0005584442,0.004699037,0.01037716,0.0001839043,0.0002577442,0.01732403,0.0002335837,0.03778534,0.8370523,0.007870344,0.08334439,0.0003136849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08612399,0.002359491,0.9039129,0.0004854355,0.0004497558,0.0002676257,0.0003283909,0.002574982,0.003497473],"genre_scores_gemma":[0.4271718,0.001148047,0.5659039,0.0005096871,0.0003357283,0.0003334899,0.0003333489,0.0003029511,0.003961052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003118752,"threshold_uncertainty_score":0.01043326,"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."}}