{"id":"W1999633682","doi":"10.5617/jeb.781","title":"Electrical characterization of bolus material as phantom for use in electrical impedance and computed tomography fusion imaging","year":2014,"lang":"en","type":"article","venue":"Journal of Electrical Bioimpedance","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thames Valley Children's Centre; Simon Fraser University","funders":"Simon Fraser University","keywords":"Electrical impedance tomography; Imaging phantom; Materials science; Biomedical engineering; Bolus (digestion); Tomography; Electrical resistivity tomography; Medical imaging; Attenuation coefficient; Electrical resistivity and conductivity; Nuclear medicine; Medicine; Radiology; Optics; Physics; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006690015,0.0004205726,0.000955196,0.001161441,0.00008407502,0.0001082345,0.0003700333,0.0002353641,0.000007003819],"category_scores_gemma":[0.0003556388,0.0003681011,0.0003217008,0.002692023,0.0001010714,0.0006496474,0.00003776409,0.0005978753,0.000001359741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159227,"about_ca_system_score_gemma":0.00007386887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001713491,"about_ca_topic_score_gemma":0.000003877202,"domain_scores_codex":[0.9966913,0.0001696422,0.001355001,0.0003948761,0.0005253532,0.0008638388],"domain_scores_gemma":[0.998068,0.0005839861,0.0005064625,0.0002106427,0.0003508278,0.0002800818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001060551,0.0002694043,0.01756045,0.0001061718,0.00007237945,0.00001855651,0.00004222662,0.00006874223,0.802038,0.0008463591,0.0002768521,0.1776403],"study_design_scores_gemma":[0.005059384,0.003532421,0.1267515,0.0003086637,0.0001879999,0.0004436173,0.000003970988,0.4967766,0.358454,0.003464689,0.003861011,0.001156014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568524,0.001564833,0.04050906,0.0001208447,0.0003502851,0.0004444027,0.00002075667,0.0000958431,0.0000416098],"genre_scores_gemma":[0.9942528,0.001299741,0.003714484,0.000183629,0.0004471795,0.00001731868,0.00001676392,0.00005828442,0.000009820452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4967079,"threshold_uncertainty_score":0.9998771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005248416061079248,"score_gpt":0.2103176538604746,"score_spread":0.2050692377993953,"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."}}