{"id":"W2072794239","doi":"10.1007/s11912-001-0083-7","title":"Mammographic densities as a marker of human breast cancer risk and their use in chemoprevention","year":2001,"lang":"en","type":"review","venue":"Current Oncology Reports","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Tamoxifen; Breast cancer; Mammography; Oncology; Breast density; Internal medicine; Hormone replacement therapy (female-to-male); Risk factors for breast cancer; Breast tissue; Mammary gland; MAMMOGRAPHIC DENSITY; Cancer; Gynecology","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":[0.0005377903,0.0004163185,0.002071172,0.000875563,0.00004764043,0.00002538583,0.00005804847,0.0002934488,0.00006489127],"category_scores_gemma":[0.00005187037,0.0003107327,0.000683248,0.0007100899,0.0003573632,0.000168817,0.00008030397,0.0006289065,8.532976e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001396411,"about_ca_system_score_gemma":0.0004091808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003355141,"about_ca_topic_score_gemma":0.0001572367,"domain_scores_codex":[0.9977001,0.000177725,0.001100998,0.0005424719,0.0001653066,0.0003134284],"domain_scores_gemma":[0.9980252,0.0001185792,0.001205177,0.0003847188,0.0001226751,0.0001436903],"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":[0.00002033146,0.0004152661,0.1648085,0.006111879,0.0002483517,0.0005769015,0.00005519711,2.650114e-8,8.027814e-7,0.000007210842,0.0001792623,0.8275762],"study_design_scores_gemma":[0.0005771086,0.0002075548,0.09908807,0.04396958,0.00240898,0.04989285,0.00007796185,0.000001231504,0.00000104587,0.000459899,0.8029587,0.0003570461],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08315866,0.9147246,0.000002600952,0.0000151151,0.0004937468,0.0007848418,0.00006849651,0.00003161934,0.0007203405],"genre_scores_gemma":[0.02267319,0.9766163,0.00001047843,0.00001058633,0.0001438244,0.0001417252,0.0001778239,0.00003875405,0.0001873504],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8272192,"threshold_uncertainty_score":0.9999345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0604932997511074,"score_gpt":0.3885144379223798,"score_spread":0.3280211381712724,"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."}}