{"id":"W4414759640","doi":"10.3390/tomography11100111","title":"Quantitative Volumetric Analysis Using 3D Ultrasound Tomography for Breast Mass Characterization","year":2025,"lang":"en","type":"article","venue":"Tomography","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"National Cancer Institute; National Institutes of Health; Sunnybrook Research Institute","keywords":"Breast cancer; Mammography; Magnetic resonance imaging; Breast imaging; Ultrasound; Breast ultrasound; BI-RADS; Medical imaging; Ultrasonography","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":[0.002061314,0.0005673535,0.0003909794,0.003575364,0.0001671525,0.001815528,0.0004487825,0.0004614969,0.001578607],"category_scores_gemma":[0.005558261,0.0002897048,0.000581742,0.001587953,0.0004020659,0.000757473,0.0005621248,0.0003394514,0.000392564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918883,"about_ca_system_score_gemma":0.0004038513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014429,"about_ca_topic_score_gemma":0.001641796,"domain_scores_codex":[0.9992181,0.0003320827,0.00006297741,0.00009637073,0.0002567162,0.00003373343],"domain_scores_gemma":[0.9975142,0.001214455,0.0005280693,0.0002518454,0.0004289025,0.00006246429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009116672,0.0002406422,0.3515007,0.001287542,0.0006064831,0.000566472,0.0009027002,0.0275963,0.2097638,0.004371658,0.002235237,0.4000168],"study_design_scores_gemma":[0.00007019725,0.0009731083,0.4043709,0.0004455743,0.000621617,0.005832792,0.001539483,0.4588015,0.1090619,0.006196582,0.01179425,0.0002921039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5462502,0.005860794,0.4395609,0.0004524251,0.0001246505,0.0003864722,0.002138335,0.001461828,0.003764317],"genre_scores_gemma":[0.8918989,0.00134811,0.1054585,0.00008497661,0.00006467474,0.0001361,0.0004945622,0.0001067858,0.0004074753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003575364,"threshold_uncertainty_score":0.01090139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248683523491448,"score_gpt":0.28503013932063,"score_spread":0.2725433040857155,"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."}}