{"id":"W4200622691","doi":"10.3390/curroncol28060448","title":"Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Mammography; Breast density; Breast cancer; Densitometry; Radiology; Ultrasonography; MAMMOGRAPHIC DENSITY; Breast imaging; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000875117,0.0002857491,0.0004195031,0.00272815,0.0002285082,0.0006005178,0.0003568116,0.000348058,0.001481567],"category_scores_gemma":[0.00264728,0.0003593601,0.0003200294,0.001098561,0.0001729419,0.0004197133,0.0004099551,0.0001566422,0.0004755949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028892,"about_ca_system_score_gemma":0.0002748776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002065742,"about_ca_topic_score_gemma":0.002578569,"domain_scores_codex":[0.9992887,0.0002426897,0.00007745844,0.0001045425,0.0002464525,0.00004012796],"domain_scores_gemma":[0.9988052,0.0004202592,0.0001760114,0.0001152428,0.0004333599,0.0000499679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001411285,0.0002807707,0.6858931,0.0002422847,0.0001749117,0.0002704245,0.0003076446,0.004904718,0.07503667,0.0005506763,0.001946942,0.2289806],"study_design_scores_gemma":[0.00009523345,0.0005712498,0.8593853,0.00003550438,0.0001366182,0.002869272,0.0002015458,0.1032897,0.03004493,0.0005807453,0.002693268,0.00009671435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9262812,0.0008458278,0.06793735,0.00009147372,0.00002594787,0.0002035729,0.001028062,0.001093328,0.002493341],"genre_scores_gemma":[0.9514667,0.0002197375,0.04702142,0.00004531016,0.00002245263,0.0001119031,0.0005158048,0.00004932078,0.0005474163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00272815,"threshold_uncertainty_score":0.004956305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04392895020718151,"score_gpt":0.3399617998044857,"score_spread":0.2960328495973042,"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."}}