{"id":"W1575134912","doi":"10.1109/lascas.2015.7250443","title":"Resonant frequency calculation of square diaphragms: A comparison","year":2015,"lang":"en","type":"article","venue":"","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Capacitive micromachined ultrasonic transducers; Square (algebra); Finite element method; Acoustics; Diaphragm (acoustics); Capacitive sensing; Range (aeronautics); Transducer; Frequency response; Materials science; Ultrasonic sensor; Frequency dependence; Structural engineering; Engineering; Vibration; Electrical engineering; Physics; Mathematics; Nuclear magnetic resonance; Composite material; Geometry","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":[0.0007356667,0.0003847349,0.0005676221,0.0004451136,0.0001864994,0.0004509025,0.0009048924,0.0008139027,0.001833038],"category_scores_gemma":[0.001799757,0.0003034012,0.0004865189,0.0004160201,0.0002128874,0.0007315284,0.0004143232,0.0002552888,0.0006194772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004285478,"about_ca_system_score_gemma":0.00050702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708661,"about_ca_topic_score_gemma":0.001923894,"domain_scores_codex":[0.9994007,0.0001054473,0.00002871846,0.0001003578,0.0003343589,0.00003040872],"domain_scores_gemma":[0.9991361,0.000461883,0.0000626486,0.0001352369,0.0001857986,0.00001828792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007717116,0.0001655326,0.007902681,0.001026249,0.0001453446,0.0004663189,0.0007032478,0.4944085,0.2248577,0.007796871,0.00168181,0.260074],"study_design_scores_gemma":[0.00003085656,0.0002780355,0.002594362,0.00004260033,0.00003353105,0.0003658046,0.00007766984,0.9362727,0.05384536,0.0008269273,0.005591664,0.00004058828],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2651349,0.001700576,0.720874,0.0001690718,0.00009679956,0.00008858548,0.0002752099,0.001521832,0.01013907],"genre_scores_gemma":[0.8054786,0.000684641,0.1912242,0.00003572268,0.0000107263,0.00005387065,0.0001403369,0.0001145956,0.002257322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001833038,"threshold_uncertainty_score":0.006132185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476461313993298,"score_gpt":0.3082264839203047,"score_spread":0.2734618707803717,"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."}}