{"id":"W2158538525","doi":"10.1109/tmi.2007.908686","title":"Registered 3-D Ultrasound and Digital Stereotactic Mammography for Breast Biopsy Guidance","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"AI in cancer detection","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Mammography; Ultrasound; Medicine; Biopsy; Stereotactic biopsy; Radiology; Digital mammography; Breast biopsy; 3D ultrasound; Breast cancer; Nuclear medicine; Cancer","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":[0.0008475888,0.0003330866,0.0003845539,0.0006947689,0.0001110101,0.0004570078,0.000568509,0.0006181523,0.001486126],"category_scores_gemma":[0.00311331,0.0004462847,0.0003851369,0.0006910823,0.0002992467,0.0003260411,0.0004982136,0.0002641721,0.0007382527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025774,"about_ca_system_score_gemma":0.0005084337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007213542,"about_ca_topic_score_gemma":0.001800468,"domain_scores_codex":[0.9986352,0.0003368003,0.00005773332,0.0001445933,0.0007738819,0.00005174397],"domain_scores_gemma":[0.9987199,0.000518192,0.0001829428,0.0002539929,0.0002806929,0.00004418549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006188475,0.00009084579,0.005369285,0.0003072125,0.00005866334,0.0002968943,0.0001910025,0.009184756,0.7730503,0.003044959,0.001447722,0.2063394],"study_design_scores_gemma":[0.0001710391,0.001850474,0.04425133,0.00006528609,0.0002284736,0.007434287,0.0001294665,0.2446101,0.6730316,0.001455742,0.02655197,0.0002201427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1492105,0.001710736,0.8415292,0.0001935512,0.0001208758,0.0002184555,0.0001697297,0.002460533,0.004386424],"genre_scores_gemma":[0.3976229,0.0004301925,0.59987,0.0001845702,0.00003667707,0.0001225173,0.0001628862,0.00009797291,0.001472327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001486126,"threshold_uncertainty_score":0.004971564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665622580280768,"score_gpt":0.2551563768780503,"score_spread":0.2385001510752426,"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."}}