{"id":"W2777823755","doi":"","title":"Compensating Electrode Errors Due to Electrode Detachment in Electrical Impedance Tomography","year":2013,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Electrode; Robustness (evolution); Electrical impedance; Biomedical engineering; Computer science; Computer vision; Artificial intelligence; Acoustics; Materials science; Engineering; Electrical engineering; Physics; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002247971,0.00046249,0.0005198775,0.0007489965,0.0001175758,0.0001572416,0.0004570533,0.0001779283,0.00004895627],"category_scores_gemma":[0.00006904941,0.000436449,0.0001805475,0.003573284,0.00004723134,0.0004099454,0.00005514699,0.0006923066,0.0001540693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052832,"about_ca_system_score_gemma":0.00002290016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008431517,"about_ca_topic_score_gemma":0.00004052652,"domain_scores_codex":[0.9969306,0.00001262017,0.0005678472,0.0005872652,0.0004043206,0.001497374],"domain_scores_gemma":[0.9992152,0.00006144707,0.00006251211,0.0001582098,0.0001596401,0.0003430308],"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":[0.00005780205,0.0002159016,0.09258802,0.0002011629,0.0001103192,0.00001777211,0.0007197995,0.0002788199,0.8503999,0.003023107,0.01211344,0.04027397],"study_design_scores_gemma":[0.001860124,0.001961962,0.3115962,0.0003151807,0.00008646942,0.0002118292,0.000246216,0.1048257,0.5612041,0.008495792,0.00589626,0.003300203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916731,0.001007224,0.0004535246,0.0003940033,0.00009125062,0.0008319313,0.0000016172,0.0007508036,0.004796506],"genre_scores_gemma":[0.9953466,0.00009511317,0.003305907,0.0004938895,0.0001772711,0.0004461642,0.000004457814,0.00007494401,0.00005562868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2891958,"threshold_uncertainty_score":0.9998087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004451936124943988,"score_gpt":0.198182924416959,"score_spread":0.193730988292015,"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."}}