{"id":"W2046872239","doi":"10.1158/1055-9965.epi-06-0651","title":"Mammographic Density, Hormone Therapy, and Risk of Breast Cancer","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Hormone therapy; MAMMOGRAPHIC DENSITY; Medicine; Oncology; Mammography; Internal medicine; Gynecology; Cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005321352,0.0006451731,0.0008839832,0.001148378,0.0008132868,0.001221725,0.001819783,0.007542114,0.01147496],"category_scores_gemma":[0.02567519,0.0002810867,0.000603226,0.001438118,0.0009241112,0.001231837,0.0007483356,0.008285797,0.002580425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008629999,"about_ca_system_score_gemma":0.001104645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002865545,"about_ca_topic_score_gemma":0.01045611,"domain_scores_codex":[0.9976912,0.00116825,0.0002829756,0.0002859066,0.0004545376,0.000117142],"domain_scores_gemma":[0.9826282,0.01167957,0.001051689,0.0003781281,0.003459312,0.0008031805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001866573,0.0001246496,0.02169044,0.0003338246,0.00007686204,0.0004911876,0.0004399987,0.000152917,0.0001566382,0.000834634,0.9540138,0.02149843],"study_design_scores_gemma":[0.0006450224,0.0008659231,0.1119483,0.002724577,0.0007930269,0.009866166,0.01169609,0.003005946,0.002753675,0.01119641,0.8440715,0.000433369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002173678,0.003522115,0.0001282732,0.9835448,0.009280394,0.00002604399,0.0002456165,0.00002332276,0.001055832],"genre_scores_gemma":[0.05376158,0.0110532,0.001914199,0.8374625,0.07882348,0.0002107875,0.000445892,0.00004863163,0.01627978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01147496,"threshold_uncertainty_score":0.0383876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413741365549035,"score_gpt":0.3078660605177537,"score_spread":0.2837286468622634,"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."}}