{"id":"W2124707255","doi":"10.1109/iembs.2009.5335080","title":"Experimental setup for developing acousto-electric interaction imaging","year":2009,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Agencia Estatal de Investigación; Natural Sciences and Engineering Research Council of Canada","keywords":"Conductivity; SIGNAL (programming language); Instrumentation (computer programming); Ultrasonic sensor; Acoustics; Electrical resistivity and conductivity; Computer science; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00003302306,0.0001017938,0.00008334764,0.0001212318,0.00005089408,0.00002984427,0.00006077474,0.00002570003,0.00001736503],"category_scores_gemma":[0.000003910556,0.00008984505,0.000060331,0.0002993258,0.000003485819,0.0001605276,0.000003517018,0.00007042301,0.000009917283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007871681,"about_ca_system_score_gemma":0.000005969096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000235588,"about_ca_topic_score_gemma":4.927252e-7,"domain_scores_codex":[0.9994674,0.000003233027,0.0001172309,0.0001116438,0.00005983397,0.0002406948],"domain_scores_gemma":[0.9998669,0.00002042241,0.00001099732,0.00005331903,0.00001753278,0.00003082419],"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":[0.00001426685,0.00002602524,0.00006938537,0.00001046692,0.00001321759,0.000001407175,0.0000532578,0.0001208111,0.8276843,0.0006961876,0.00835401,0.1629567],"study_design_scores_gemma":[0.0002710791,0.00009231066,0.001058751,0.00001265475,0.000006518785,0.0000153674,0.00005502537,0.08180701,0.9098661,0.0005426031,0.006015854,0.000256755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5373204,0.002743783,0.4317678,0.0007343618,0.0004888907,0.0005458913,0.000002242241,0.001914419,0.02448216],"genre_scores_gemma":[0.9943206,0.00002108038,0.005094409,0.0003423828,0.0001016127,0.00001742604,0.000004897157,0.00001079667,0.0000867702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4570002,"threshold_uncertainty_score":0.3663775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008883755038497051,"score_gpt":0.2499116141963933,"score_spread":0.2410278591578963,"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."}}