{"id":"W2025588037","doi":"10.1186/bcr2102","title":"Mammographic density. Measurement of mammographic density","year":2008,"lang":"en","type":"review","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":238,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre","funders":"National Cancer Institute","keywords":"MAMMOGRAPHIC DENSITY; Breast density; Mammography; Breast cancer; Non-ionizing radiation; Medical physics; Medicine; Measure (data warehouse); Modalities; Ultrasound; Radiology; Cancer; Computer science; Data mining; Optics; Internal medicine; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002095956,0.0007863187,0.003086173,0.003985457,0.0003407703,0.00008708026,0.0007127918,0.0004792673,0.0001492854],"category_scores_gemma":[0.0001176815,0.0006365427,0.00232824,0.006392208,0.001434716,0.0001970843,0.0003900831,0.002068202,0.00006141209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326486,"about_ca_system_score_gemma":0.002804663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702518,"about_ca_topic_score_gemma":0.0002043851,"domain_scores_codex":[0.9911588,0.0005814268,0.001135455,0.001180052,0.004350034,0.001594266],"domain_scores_gemma":[0.9945709,0.0001900919,0.0003915657,0.001415905,0.002670279,0.0007612611],"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":[0.0002534564,0.0005414734,0.006048726,0.0227777,0.001441485,0.0005047796,0.00002699878,9.483187e-8,0.00001407117,0.0001187333,0.003216844,0.9650556],"study_design_scores_gemma":[0.001540281,0.000358973,0.02657363,0.08477142,0.001913201,0.01898112,0.00005374119,0.000002130817,0.0000476795,0.0001500317,0.8645188,0.001088941],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008785697,0.9936002,0.00001398913,0.0002556553,0.0002372805,0.001974917,0.0002813048,0.0001129491,0.002645174],"genre_scores_gemma":[0.01637387,0.9822342,0.00006383275,0.0000356424,0.0004976392,0.0003437539,0.00007688793,0.0001545581,0.0002195478],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9639667,"threshold_uncertainty_score":0.9996086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1448007083666609,"score_gpt":0.4089049189037251,"score_spread":0.2641042105370642,"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."}}