{"id":"W2075225575","doi":"10.1088/0967-3334/32/7/s09","title":"Evaluation of EIT system performance","year":2011,"lang":"es","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Computer science; Imaging phantom; Calibration; Noise (video); Software; Position (finance); Set (abstract data type); Controller (irrigation); Electronic engineering; Computer vision; Electrical impedance; Artificial intelligence; Image (mathematics); Engineering; Optics; Electrical engineering; Physics","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":[0.006010491,0.0008402698,0.0009250794,0.001535921,0.0005991268,0.00199002,0.001083127,0.001362744,0.004215008],"category_scores_gemma":[0.02387135,0.000302077,0.0003781476,0.001261362,0.0005857652,0.001873994,0.001338795,0.0005211614,0.001409689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007125977,"about_ca_system_score_gemma":0.0005953472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060667,"about_ca_topic_score_gemma":0.0005864243,"domain_scores_codex":[0.996992,0.0007663573,0.0004400151,0.0004530882,0.00115147,0.0001971688],"domain_scores_gemma":[0.9837793,0.008303297,0.0007544867,0.00158584,0.005302218,0.0002749248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00873403,0.0006445781,0.0335439,0.00214459,0.0006504357,0.001020375,0.001571545,0.09263911,0.4042229,0.004040175,0.006184159,0.4446042],"study_design_scores_gemma":[0.0002774142,0.007324745,0.04366702,0.0001655978,0.0005431874,0.002761622,0.0006404235,0.3369809,0.590034,0.00167767,0.0155902,0.0003372046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5971715,0.001787246,0.385713,0.0005433318,0.0002727009,0.0008219259,0.001419039,0.006100731,0.00617052],"genre_scores_gemma":[0.8845522,0.0006693487,0.1080144,0.00023083,0.00006391564,0.0004220491,0.001717979,0.0006459475,0.003683379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006010491,"threshold_uncertainty_score":0.03178686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2119440028232888,"score_gpt":0.2497254463499755,"score_spread":0.03778144352668669,"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."}}