{"id":"W1910842482","doi":"10.1109/imtc.1998.679854","title":"Development and evaluation of a 3D ultrasound imaging system","year":2002,"lang":"en","type":"article","venue":"","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Medical Research Council Canada","keywords":"Ultrasound; 3D ultrasound; Prostate; Ultrasound imaging; Consistency (knowledge bases); Prostate cancer; Computer science; Reproducibility; Computer vision; Medicine; Medical imaging; Radiology; Artificial intelligence; Medical physics; Cancer; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002373872,0.0004867034,0.0005298356,0.001366445,0.0004659387,0.001278611,0.001289349,0.001192732,0.003798567],"category_scores_gemma":[0.004773754,0.000517842,0.0005744902,0.0005964598,0.0004227542,0.0008524801,0.001021793,0.0006440998,0.001672756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007287265,"about_ca_system_score_gemma":0.001525923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896775,"about_ca_topic_score_gemma":0.001829986,"domain_scores_codex":[0.9980916,0.0002999268,0.0001296805,0.0001944523,0.001207645,0.00007662125],"domain_scores_gemma":[0.9959888,0.0005781293,0.0001128891,0.000375607,0.002708719,0.0002358844],"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":[0.0005011146,0.0002565271,0.009688709,0.0006065479,0.00008705421,0.0006485678,0.0005549389,0.02533984,0.2492622,0.008896283,0.01069955,0.6934587],"study_design_scores_gemma":[0.000289472,0.002923108,0.0274535,0.000349946,0.0003555211,0.004235789,0.0003449235,0.422457,0.3203334,0.003371892,0.2173075,0.0005779045],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03706148,0.001022032,0.9495082,0.0006843255,0.0003971844,0.0009991291,0.0005162453,0.004103491,0.005707854],"genre_scores_gemma":[0.1364208,0.0007503433,0.856562,0.0003349995,0.00005948233,0.0006328601,0.0008435463,0.0002992464,0.004096733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003798567,"threshold_uncertainty_score":0.01270747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04558268365524357,"score_gpt":0.292256337150014,"score_spread":0.2466736534947704,"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."}}