{"id":"W2081499375","doi":"10.1016/j.ultrasmedbio.2010.10.025","title":"Alignment and Calibration of Dual Ultrasound Transducers Using a Wedge Phantom","year":2011,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imaging phantom; Wedge (geometry); Calibration; Transducer; Ultrasound; Biomedical engineering; Acoustics; Dual (grammatical number); Materials science; Nuclear medicine; Medicine; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005574349,0.0002829762,0.000695054,0.0004767344,0.00006298376,0.000004987085,0.0000903429,0.0001738405,0.0004162102],"category_scores_gemma":[0.0004595837,0.0002200628,0.00008528325,0.00047039,0.001165126,0.0001147403,0.00001267814,0.0003036702,0.000001884906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005327184,"about_ca_system_score_gemma":0.00008762061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001510505,"about_ca_topic_score_gemma":0.000063395,"domain_scores_codex":[0.9981017,0.0001502635,0.0006717684,0.0004492262,0.0001901254,0.0004369536],"domain_scores_gemma":[0.9987185,0.0005688682,0.0001684816,0.0002791771,0.00007382837,0.0001911584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002802579,0.0002257774,0.2937628,0.00009504482,0.0001138133,0.000007725321,0.007594253,0.00000145064,0.6958393,0.0006067297,0.0001586924,0.001314189],"study_design_scores_gemma":[0.03586984,0.01546143,0.7356569,0.003066141,0.003021693,0.009750336,0.02625327,0.0006950234,0.1182569,0.0190999,0.03016804,0.002700469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894286,0.001571914,0.004891031,0.0002225991,0.0003850022,0.0003843212,0.00002000482,0.00004838323,0.003048142],"genre_scores_gemma":[0.9932377,0.0009286396,0.004937766,0.0005253283,0.0001924067,0.00001283913,0.00009163561,0.00002806843,0.00004563314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5775823,"threshold_uncertainty_score":0.8973899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03655450844757315,"score_gpt":0.2940556291027205,"score_spread":0.2575011206551474,"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."}}