{"id":"W2118709987","doi":"10.7863/jum.2004.23.2.173","title":"Diagnosing Breast Lesions With Contrast-Enhanced 3-Dimensional Power Doppler Imaging","year":2004,"lang":"en","type":"article","venue":"Journal of Ultrasound in Medicine","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research and Materiel Command; National Cancer Institute","keywords":"Medicine; Mammography; Power doppler; Breast imaging; Radiology; Receiver operating characteristic; Breast cancer; Contrast (vision); Biopsy; Nuclear medicine; Color doppler; Medical imaging; Ultrasound; Cancer; Ultrasonography; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006360637,0.0002372581,0.0007070371,0.0003959372,0.00009296813,0.00001523524,0.000121017,0.00007077793,0.0005705792],"category_scores_gemma":[0.0003649792,0.0001419302,0.0001094218,0.0004304325,0.0003193455,0.0001886616,0.00001547842,0.0006801644,0.00000722809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002494447,"about_ca_system_score_gemma":0.0003965081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009914552,"about_ca_topic_score_gemma":0.00002377732,"domain_scores_codex":[0.9978386,0.0000475646,0.0007610804,0.0002097986,0.0007739867,0.0003690377],"domain_scores_gemma":[0.9981543,0.0004398044,0.0003480647,0.0002210381,0.0004692034,0.0003676065],"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":[0.00388042,0.002312518,0.1888122,0.0001170067,0.0003712858,0.005718006,0.003444559,0.00122586,0.7723495,0.001123966,0.006981799,0.01366291],"study_design_scores_gemma":[0.01669617,0.001226703,0.8980584,0.004490864,0.0002528268,0.07300226,0.002316557,0.000008151181,0.002466954,0.0005017578,0.0007570271,0.0002222911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800506,0.001577541,0.002332371,0.01404247,0.0003395705,0.0001955533,0.000004836139,0.00001591989,0.001441091],"genre_scores_gemma":[0.9947535,0.0001349595,0.002469901,0.002015312,0.0005259889,0.000003490576,0.000007291401,0.00003277892,0.00005679993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7698825,"threshold_uncertainty_score":0.6247442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008918385333992805,"score_gpt":0.2586342270794574,"score_spread":0.2497158417454646,"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."}}