{"id":"W2102126987","doi":"10.1109/icemi.2009.5274791","title":"Virtual ultrasonic waveform acquisition and analysis system based on LabVIEW and PCI-12400 A/D card","year":2009,"lang":"en","type":"article","venue":"","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Computer science; Waveform; Data acquisition; Ultrasonic sensor; Ultrasound; Digitization; Echo (communications protocol); SIGNAL (programming language); Scope (computer science); Process (computing); Computer hardware; Acoustics; Computer vision; Operating system; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409203,0.0008942181,0.00100275,0.001471323,0.000308759,0.0009431775,0.001468649,0.0003495522,0.015691],"category_scores_gemma":[0.002263235,0.0004515058,0.0003161474,0.0008844378,0.000307842,0.0007433883,0.0007639338,0.0006478041,0.003587023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003383369,"about_ca_system_score_gemma":0.0009405934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006820234,"about_ca_topic_score_gemma":0.0004210444,"domain_scores_codex":[0.998727,0.0002297559,0.0001558759,0.0003043545,0.0005194903,0.00006355309],"domain_scores_gemma":[0.9985391,0.0002904566,0.0001212216,0.0002551123,0.0006797619,0.0001143547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002359728,0.0005147497,0.006302844,0.000949509,0.0002003303,0.0004248832,0.0004027689,0.01238397,0.2167083,0.01072995,0.052331,0.6966919],"study_design_scores_gemma":[0.001323661,0.003234839,0.02160946,0.0001729897,0.0005195784,0.003345984,0.0001663427,0.4239687,0.3187253,0.004688816,0.2217138,0.0005304192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01681669,0.0001920594,0.9494793,0.00007360547,0.0001456833,0.0008343175,0.0008293751,0.02721282,0.004416263],"genre_scores_gemma":[0.2272373,0.0004468564,0.7517145,0.000299593,0.0001234324,0.003443637,0.003066989,0.001723841,0.01194381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.015691,"threshold_uncertainty_score":0.05249166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005272590160057551,"score_gpt":0.2265896911549655,"score_spread":0.221317100994908,"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."}}