{"id":"W2089974647","doi":"10.1088/0967-3334/35/6/1035","title":"Choice of reconstructed tissue properties affects interpretation of lung EIT images","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Iterative reconstruction; Linearization; Inverse problem; Electrical resistivity tomography; Reconstruction algorithm; Tomography; Algorithm; Electrical resistivity and conductivity; Computer science; Acoustics; Computer vision; Physics; Mathematics; Mathematical analysis; Optics","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":[0.0001519127,0.00011034,0.0002452973,0.00004573931,0.00001494492,0.000004170127,0.0001070729,0.0000483829,0.00001840838],"category_scores_gemma":[0.0001449713,0.00007193079,0.00006322201,0.0001755196,0.00006989115,0.00004482848,0.00001556851,0.00008383641,0.000002457156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002154153,"about_ca_system_score_gemma":0.000004134951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007424419,"about_ca_topic_score_gemma":0.000001817777,"domain_scores_codex":[0.9992539,0.00006818987,0.0002004191,0.0001213931,0.00020972,0.000146323],"domain_scores_gemma":[0.9996503,0.00003824579,0.00005662564,0.0001091579,0.0001111691,0.0000345043],"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":[0.00001980465,0.0000389127,0.000557974,0.0002563662,0.00003647748,5.551195e-8,0.000020782,0.0006191742,0.9576554,0.0000464997,0.0001671135,0.04058144],"study_design_scores_gemma":[0.0001897696,0.000369375,0.04933848,0.0001594464,0.00002301915,3.715857e-7,0.000004144981,0.01295966,0.936439,0.0003345178,0.00005648875,0.0001257209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948568,0.0009257313,0.002783398,0.0000180336,0.00009752592,0.0002047998,0.000002264108,0.0001115556,0.0009998861],"genre_scores_gemma":[0.9995236,0.00003613214,0.0003590993,0.000009961729,0.00004043803,0.00002020711,0.0000016054,0.000006488419,0.000002485506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0487805,"threshold_uncertainty_score":0.2933253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925399938903984,"score_gpt":0.226016989364609,"score_spread":0.1967629899755692,"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."}}