{"id":"W2547637770","doi":"10.1002/9780470487068.ch12","title":"Digital 3D/4D Ultrasound Imaging Array","year":2010,"lang":"en","type":"other","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Ultrasound imaging; Ultrasound; Computer science; Planar; Architecture; 3D ultrasound; Imaging technology; Computer vision; Computer graphics (images); Radiology; Medicine; Art","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":[0.0002774788,0.0004792901,0.0003713251,0.0009857763,0.0002944741,0.001311977,0.0008711834,0.0008696242,0.05589616],"category_scores_gemma":[0.0004795218,0.0006185819,0.0004030998,0.0007394525,0.0002860732,0.001396702,0.000715439,0.0006520262,0.01597441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005131111,"about_ca_system_score_gemma":0.0006036671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007644551,"about_ca_topic_score_gemma":0.001438688,"domain_scores_codex":[0.9995618,0.00002709078,0.00001872098,0.00006070018,0.0003029105,0.00002871811],"domain_scores_gemma":[0.9996864,0.00006978122,0.00001693237,0.00004164602,0.0001652907,0.00002000562],"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":[0.000185702,0.0000905205,0.0008050738,0.001058174,0.00003862495,0.0002288947,0.0002181558,0.006982016,0.2852936,0.04218171,0.06096087,0.6019567],"study_design_scores_gemma":[0.00002433238,0.0001802447,0.001817335,0.0002163324,0.00004377127,0.001112538,0.00008766706,0.0378812,0.150377,0.005190979,0.8029898,0.00007874306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01095732,0.01362372,0.7238742,0.001551055,0.001890425,0.0003869263,0.001240874,0.00547593,0.2409996],"genre_scores_gemma":[0.08719011,0.02214881,0.5473292,0.002131657,0.001038399,0.0004189776,0.003323297,0.0008222251,0.3355973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05589616,"threshold_uncertainty_score":0.1869913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004824491222207314,"score_gpt":0.2148635114069402,"score_spread":0.2100390201847329,"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."}}