{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000988071,0.00128786,0.001211353,0.00219425,0.0007440973,0.002037409,0.001491267,0.001996003,0.1010905],"category_scores_gemma":[0.002057941,0.0004701873,0.0004242019,0.002579003,0.00079372,0.001802631,0.002268365,0.002495047,0.08803388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007230372,"about_ca_system_score_gemma":0.0007324633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003517935,"about_ca_topic_score_gemma":0.0003869105,"domain_scores_codex":[0.9984432,0.0001689222,0.00008911165,0.0001818483,0.001038659,0.0000783019],"domain_scores_gemma":[0.9990392,0.0002140578,0.00008816437,0.0001591055,0.0004317942,0.00006767744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001364594,0.0000605927,0.000365939,0.00130403,0.00003185004,0.0003365813,0.0001982598,0.0006037024,0.03462737,0.06400299,0.2408096,0.6575226],"study_design_scores_gemma":[0.00002222536,0.00004632649,0.0002754523,0.000160947,0.00001526305,0.0007623338,0.00003521279,0.001343853,0.01058648,0.007858012,0.978865,0.00002875769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00482563,0.1339353,0.2649839,0.005006953,0.0131979,0.0006974753,0.00279277,0.008809107,0.565751],"genre_scores_gemma":[0.06505362,0.062534,0.1583251,0.002999174,0.003165618,0.001214135,0.00424786,0.0009352954,0.7015252],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1010905,"threshold_uncertainty_score":0.3381815,"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."}}