{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004647615,0.0004585832,0.000398444,0.005602424,0.0007073716,0.001099074,0.001006848,0.0004295099,0.001601834],"category_scores_gemma":[0.0101627,0.0003955467,0.0005725574,0.008740718,0.0003509664,0.0007071994,0.002230381,0.0003327939,0.0004073426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031955,"about_ca_system_score_gemma":0.001586402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05275955,"about_ca_topic_score_gemma":0.0630713,"domain_scores_codex":[0.9957426,0.002054463,0.0004556774,0.0005993587,0.0006577186,0.0004901202],"domain_scores_gemma":[0.9915416,0.001397984,0.002395906,0.001295187,0.002853393,0.0005160301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003932916,0.00002707132,0.9917384,0.00002935615,0.0001035289,0.00003099773,0.0004941038,0.0001108582,0.0001291934,0.0001686881,0.001527572,0.005601053],"study_design_scores_gemma":[0.000005877505,0.00002176834,0.9959591,0.00004262823,0.00005214533,0.0001967186,0.00114241,0.0001978803,0.0001845384,0.00003937988,0.002148898,0.000008762002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717067,0.0008256536,0.002057679,0.0001820928,0.00002903043,0.0003227994,0.01720808,0.00004812916,0.00761968],"genre_scores_gemma":[0.9734438,0.000440952,0.00258413,0.0001306443,0.0000177637,0.0005110822,0.02136478,0.00003381136,0.001473059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05275955,"threshold_uncertainty_score":0.1049049,"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."}}