{"id":"W2026987842","doi":"10.1016/s0301-5629(00)00150-2","title":"Transducer materials and probe construction","year":2000,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute; Medical Research Council; Medical Research Council Canada","keywords":"Transducer; Computer science; Broadband; Acoustics; Beamforming; Second-harmonic imaging microscopy; Image quality; Ultrasonic sensor; Medical physics; Telecommunications; Optics; Medicine; Physics; Artificial intelligence; Laser","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001424997,0.001337577,0.0008216426,0.001780433,0.0007471489,0.0008171499,0.00110669,0.001874201,0.01870665],"category_scores_gemma":[0.003706615,0.0013837,0.0004947754,0.001111989,0.0006224918,0.001200873,0.001186972,0.001204395,0.009736587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003516177,"about_ca_system_score_gemma":0.0009501373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002569643,"about_ca_topic_score_gemma":0.0003488178,"domain_scores_codex":[0.9988649,0.0001984505,0.0001297775,0.0002798122,0.0004212598,0.0001057953],"domain_scores_gemma":[0.9983408,0.0006273051,0.0001477746,0.0003242574,0.0004721158,0.00008765773],"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":[0.001009781,0.0002325934,0.00160433,0.00141236,0.00002784712,0.0004561974,0.0004405475,0.001521851,0.9059942,0.009744104,0.006455097,0.07110105],"study_design_scores_gemma":[0.0001368333,0.001458762,0.003311094,0.0001460136,0.0001235329,0.000882543,0.0001788856,0.003913653,0.837693,0.002370485,0.1496863,0.00009883509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1669247,0.006831389,0.7646771,0.001915419,0.001692289,0.005279168,0.005836661,0.005838331,0.04100497],"genre_scores_gemma":[0.2853202,0.006577389,0.6635113,0.001120688,0.0002835274,0.008722734,0.005306475,0.001079042,0.02807878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01870665,"threshold_uncertainty_score":0.06257999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009483047392747784,"score_gpt":0.2683478283068292,"score_spread":0.2588647809140814,"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."}}