{"id":"W1482311334","doi":"10.1002/9780471740360.ebs1236","title":"Ultrasonic Transducers for Medical Imaging","year":2006,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Biomedical Engineering","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Transducer; Ultrasonic sensor; Ultrasound; Acoustics; Ultrasound imaging; Medical ultrasound; Image quality; Computer science; Materials science; Biomedical engineering; Engineering; Computer vision; Physics; Image (mathematics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002784384,0.0004941804,0.0009415336,0.0009308783,0.00002539019,0.00001027072,0.0002743298,0.0005471375,0.000763765],"category_scores_gemma":[0.0004838071,0.0004510748,0.0005065249,0.0004871054,0.0003146616,0.00003269788,0.00002269537,0.0005624588,0.00001302898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005420154,"about_ca_system_score_gemma":0.0003246446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002255073,"about_ca_topic_score_gemma":0.00001045222,"domain_scores_codex":[0.9971662,0.00001306588,0.000658115,0.0005260234,0.0009693262,0.0006673245],"domain_scores_gemma":[0.9985648,0.0002634662,0.000160462,0.0003850836,0.00004768339,0.0005785168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004010661,0.0003449336,0.0006619324,0.002814933,0.0003924992,0.00004008364,0.00007097897,0.000009203885,0.00137092,0.00006392542,0.9584659,0.03572464],"study_design_scores_gemma":[0.001698719,0.0001008177,0.0001657963,0.00323776,0.0003285576,0.0001232064,0.0000163903,0.001211159,0.00003179893,0.000008433936,0.9926631,0.0004142517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005409343,0.02846249,0.3257585,0.002637679,0.006715308,0.002488617,0.0008972526,0.002625385,0.6298738],"genre_scores_gemma":[0.01853857,0.0576926,0.2645119,0.002209163,0.03619346,0.001486511,0.01088928,0.01120103,0.5972775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06124659,"threshold_uncertainty_score":0.9997941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00287793228640412,"score_gpt":0.2189268569059342,"score_spread":0.2160489246195301,"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."}}