{"id":"W2049394971","doi":"10.1615/critrevbiomedeng.v36.i4.20","title":"The Technology and Performance of 4D Ultrasound","year":2008,"lang":"en","type":"article","venue":"Critical Reviews in Biomedical Engineering","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Ultrasound; Computer science; Ultrasound imaging; 3D ultrasound; Visualization; Rendering (computer graphics); Medical physics; Imaging technology; Volume rendering; Field (mathematics); Artificial intelligence; Radiology; Medicine","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":[0.005527867,0.0007995695,0.001024416,0.003094944,0.0006410794,0.004247964,0.002062262,0.00234744,0.006783896],"category_scores_gemma":[0.01262491,0.001054013,0.0008289937,0.002351428,0.002351862,0.003528473,0.002702809,0.001679395,0.002732119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651357,"about_ca_system_score_gemma":0.001515843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002334909,"about_ca_topic_score_gemma":0.0008722786,"domain_scores_codex":[0.9934521,0.002055874,0.0003698433,0.0006888384,0.003223732,0.0002096213],"domain_scores_gemma":[0.9927228,0.003643114,0.0004839,0.0008214884,0.00210772,0.0002209887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003643901,0.00007276377,0.006668626,0.00182823,0.0001015052,0.0006774511,0.0009853002,0.01282321,0.05934582,0.06426507,0.01042069,0.842447],"study_design_scores_gemma":[0.00009817813,0.0009930653,0.008551538,0.001798837,0.0002401703,0.008283211,0.0007325069,0.07233643,0.1037129,0.05840623,0.7442542,0.0005927607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02896678,0.128231,0.7732506,0.007802797,0.002321109,0.0003281934,0.0004853059,0.002308572,0.05630576],"genre_scores_gemma":[0.3072651,0.08477762,0.5805362,0.002557417,0.002209842,0.0004984071,0.0005175704,0.0006213842,0.02101631],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006783896,"threshold_uncertainty_score":0.02923453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654928551662913,"score_gpt":0.2661935972107264,"score_spread":0.2496443116940973,"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."}}