{"id":"W24448547","doi":"10.1038/ejhg.2013.308","title":"DSC(Digital Scan Converter)-error-free beamforming method for ultrasound imaging (poster session)","year":2001,"lang":"en","type":"article","venue":"Technology and Health Care","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute on Aging; Canadian Institutes of Health Research","keywords":"Session (web analytics); Computer science; Beamforming; Ultrasound; Telecommunications; Radiology; Medicine; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002026181,0.0002042508,0.0004009713,0.000576428,0.0004109397,0.00003525077,0.0001376645,0.0001646308,0.00002100862],"category_scores_gemma":[0.0001025403,0.0001787059,0.00009238094,0.0004153588,0.0002223052,0.0001718908,0.00005684022,0.0003614002,0.000006223219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008672313,"about_ca_system_score_gemma":0.0001562154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005533749,"about_ca_topic_score_gemma":0.00003265432,"domain_scores_codex":[0.9986163,0.00001324468,0.0002967646,0.0003924742,0.0001157495,0.0005654513],"domain_scores_gemma":[0.9990469,0.0001135362,0.0001022055,0.000415411,0.0001406718,0.0001813324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000209612,0.00007702961,0.5623334,0.0006122744,0.00007948827,0.00001422788,0.002273927,3.145118e-7,0.001054506,0.00104916,0.005411354,0.4268847],"study_design_scores_gemma":[0.01329999,0.002639427,0.05427812,0.001650625,0.0003566686,0.01295626,0.05300969,0.0003363249,0.001282845,0.01304371,0.8459109,0.001235401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5996388,0.02775408,0.2368398,0.1207745,0.001127993,0.002981282,0.0003058789,0.002462117,0.008115494],"genre_scores_gemma":[0.9511509,0.0002069497,0.04247754,0.005509958,0.0001214777,0.00006855714,0.0001239786,0.00004208228,0.0002985391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8404996,"threshold_uncertainty_score":0.7287414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396189206015888,"score_gpt":0.3302542780903467,"score_spread":0.3162923860301878,"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."}}