{"id":"W4319334001","doi":"10.1148/radiol.222575","title":"Beyond Breast Density: Risk Measures for Breast Cancer in Multiple Imaging Modalities","year":2023,"lang":"en","type":"review","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; NYU Grossman School of Medicine; National Institutes of Health; National Cancer Institute; National Research Foundation; Institute for Translational Medicine and Therapeutics; York University; National Center for Advancing Translational Sciences; Wellcome Trust; University of Pennsylvania; Breast Cancer Alliance; Burroughs Wellcome Fund; National Research Foundation of Korea; U.S. Department of Defense","keywords":"Medicine; Breast cancer; Mammography; Breast imaging; Breast density; Digital mammography; Breast MRI; Radiology; Digital Breast Tomosynthesis; Breast cancer screening; BI-RADS; Magnetic resonance imaging; Risk assessment; Breast tissue; Oncology; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001627734,0.001244968,0.002405284,0.004956518,0.0002251775,0.001443978,0.001283356,0.001396793,0.004106051],"category_scores_gemma":[0.003787105,0.0004218859,0.001597203,0.00368804,0.0007354905,0.002030486,0.0009603602,0.00241267,0.001555489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051508,"about_ca_system_score_gemma":0.001589302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002858102,"about_ca_topic_score_gemma":0.003070597,"domain_scores_codex":[0.9991568,0.0002546754,0.00013641,0.0001296455,0.000290467,0.0000320057],"domain_scores_gemma":[0.9982234,0.001203716,0.0002151458,0.00004816672,0.000258552,0.00005106439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007071721,0.00004320746,0.0006571274,0.02011387,0.0005850403,0.00008192098,0.00006438256,0.0004487551,0.0002457504,0.005441274,0.03551479,0.9367331],"study_design_scores_gemma":[0.00004950126,0.0001639279,0.004050283,0.02369801,0.001161162,0.002353905,0.000119213,0.0005585045,0.0004499214,0.009305461,0.9580097,0.00008036318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007204031,0.9984998,0.0002479639,0.0004039221,0.0001629063,0.000005965495,0.00004516693,0.000006940584,0.0005552828],"genre_scores_gemma":[0.001739585,0.9963138,0.0005079361,0.0004710051,0.000372823,0.00002062708,0.000109447,0.000004928449,0.0004599435],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004956518,"threshold_uncertainty_score":0.01373607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03975254722593445,"score_gpt":0.3243774995439935,"score_spread":0.284624952318059,"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."}}