{"id":"W1613533325","doi":"10.1109/ultsym.1990.171488","title":"Ultrasonic tomography using scanned contact transducers","year":2002,"lang":"en","type":"article","venue":"IEEE Symposium on Ultrasonics","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Transducer; Oscilloscope; Microcomputer; Ultrasonic sensor; Computer science; Acoustics; Waveform; Stylus; Computer graphics (images); Computer vision; Detector; Physics; Telecommunications","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":[0.0004679689,0.0003605558,0.0003702936,0.001136719,0.0002761242,0.0008950031,0.0006709725,0.0007579969,0.004657649],"category_scores_gemma":[0.00253201,0.0004447838,0.0002117125,0.001847013,0.0006872991,0.001349144,0.001140358,0.0004695106,0.0009622474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004943523,"about_ca_system_score_gemma":0.0004943002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101177,"about_ca_topic_score_gemma":0.001239353,"domain_scores_codex":[0.9994162,0.00007512606,0.00003512468,0.0001465192,0.0002895466,0.00003749805],"domain_scores_gemma":[0.9988245,0.0004739934,0.0001010566,0.0003198195,0.0002329294,0.00004769122],"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":[0.0003115767,0.00004101383,0.003100886,0.0002609357,0.00003342047,0.0008722789,0.0004089193,0.005987545,0.8746589,0.008233198,0.00216323,0.1039281],"study_design_scores_gemma":[0.0001159085,0.0006209317,0.01006852,0.00006499714,0.00008198906,0.005811747,0.0003254657,0.08851478,0.8667654,0.003998126,0.02352444,0.000107655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.245209,0.001736739,0.7367159,0.0003386757,0.0001173431,0.0001673355,0.0008337163,0.002389831,0.01249145],"genre_scores_gemma":[0.5625967,0.001107996,0.428881,0.0001106922,0.00005934916,0.000168861,0.0005751448,0.0002203796,0.006279788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004657649,"threshold_uncertainty_score":0.01558143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153809365432367,"score_gpt":0.2058239334107924,"score_spread":0.1904429968675557,"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."}}