{"id":"W2207530733","doi":"10.1016/j.canep.2015.11.015","title":"International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cancer Care Ontario; Princess Margaret Cancer Centre; University of Toronto","funders":"National Cancer Institute; National Medical Research Council; Cancer Council Victoria; National Institutes of Health; Medical Research Council; Instituto de Seguriidad y Servicios Sociales de los Trabadores del Estado; Universiti Malaya; ZonMw; World Health Organization; European Commission; National Institute for Health and Care Research; Isfahan University of Medical Sciences; Breast Cancer Campaign; National Health and Medical Research Council; Cancer Research UK; Susan G. Komen for the Cure; Engineering and Physical Sciences Research Council; Israel Cancer Association; World Cancer Research Fund; National Breast Cancer Foundation; Ellison Medical Foundation","keywords":"Medicine; Confounding; Breast cancer; Epidemiology; Population; Demography; Mammography; Trait; Environmental health; Cancer; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001287591,0.0001304006,0.0004584229,0.0001355266,0.0001091197,0.000008062334,0.00007829702,0.0001340752,0.00002937596],"category_scores_gemma":[0.0009302407,0.0001119197,0.00008541332,0.0001060974,0.000430134,0.0001108288,0.0001344411,0.0001846516,0.000005635308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008703127,"about_ca_system_score_gemma":0.00003378546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539522,"about_ca_topic_score_gemma":0.0001320583,"domain_scores_codex":[0.9987764,0.0002778889,0.0002399014,0.0003173781,0.0001048199,0.0002836089],"domain_scores_gemma":[0.9987615,0.0006171723,0.0001386491,0.0001430873,0.0001442478,0.0001953174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006316484,0.00001997294,0.9847823,0.00001874932,0.0001436679,0.00002419013,0.0002828608,0.0000307321,0.0000179181,0.003545729,0.002950769,0.0075514],"study_design_scores_gemma":[0.001141906,0.0001473278,0.9748524,0.00003977524,0.00007905246,0.0002139376,0.0002222057,0.0001318291,0.00004895346,0.009622187,0.01337922,0.0001211691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828352,0.001364069,0.001943204,0.01125558,0.001393885,0.0001469062,0.00006335833,0.00005607226,0.0009416644],"genre_scores_gemma":[0.991593,0.000222146,0.0009384508,0.006747098,0.0002535076,0.00001041491,0.00007300171,0.000007985637,0.0001543649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01042845,"threshold_uncertainty_score":0.4563955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1756854688005326,"score_gpt":0.4142685295983786,"score_spread":0.238583060797846,"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."}}