{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006090389,0.0006243552,0.002832447,0.00105546,0.0001201916,0.00005132517,0.0002642357,0.0003177155,0.00002349154],"category_scores_gemma":[0.0001769453,0.0005110894,0.001044555,0.0007152779,0.0003410699,0.0001527344,0.00008793234,0.0006600804,0.0000290553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945945,"about_ca_system_score_gemma":0.0004883562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007290474,"about_ca_topic_score_gemma":0.0003121015,"domain_scores_codex":[0.9970778,0.0002230941,0.0008118284,0.0008090602,0.0002105499,0.0008676575],"domain_scores_gemma":[0.9980241,0.0007831304,0.0003643233,0.0004684341,0.0001507792,0.0002092535],"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":[0.0001157273,0.00006146731,0.01882026,0.006958699,0.0006614142,0.0001556502,0.00006682544,0.000004756072,8.35596e-7,0.0002297222,0.001129484,0.9717951],"study_design_scores_gemma":[0.005428699,0.0001615411,0.04255184,0.03960178,0.007424328,0.06200144,0.0003869561,0.0009077049,0.000001645398,0.004456497,0.8347425,0.002335042],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001627579,0.990315,0.0001453813,0.0004087332,0.0007613905,0.001467039,0.005923549,0.0002253417,0.0005907771],"genre_scores_gemma":[0.003337629,0.9939151,0.0001339526,0.0001376632,0.001017687,0.0005952453,0.0003622431,0.0001426605,0.0003577815],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9694601,"threshold_uncertainty_score":0.999734,"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."}}