{"id":"W2921061070","doi":"10.1158/1055-9965.epi-18-0904","title":"Finasteride Use and Risk of Male Breast Cancer: A Case–Control Study Using Individual-Level Registry Data from Denmark, Finland, and Sweden","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Male Breast Health Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"Merck Sharp and Dohme","keywords":"Medicine; Breast cancer; Finasteride; Cancer registry; Case-control study; Demography; Gynecology; Epidemiology; Cancer; Oncology; Environmental health; Gerontology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002639389,0.0003034757,0.001146519,0.000137922,0.0001394583,0.00001236691,0.0001664215,0.0002300273,0.0004292427],"category_scores_gemma":[0.0006758479,0.0002645444,0.00007338026,0.0001369259,0.000276297,0.0002779789,0.0004008597,0.0002717593,0.000004785194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132319,"about_ca_system_score_gemma":0.0002467255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03064503,"about_ca_topic_score_gemma":0.007744988,"domain_scores_codex":[0.9962936,0.001308372,0.0008953612,0.0009253749,0.0001497521,0.000427523],"domain_scores_gemma":[0.9962929,0.001507397,0.0009807452,0.0008935029,0.000132869,0.0001925747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001810283,0.0001123263,0.9758037,0.0003743639,0.002560584,0.00008297308,0.0001990466,0.000007941544,0.0002161174,0.000001129863,0.001270642,0.01756088],"study_design_scores_gemma":[0.005085049,0.0002188843,0.985981,0.0008017594,0.003176874,0.001268842,0.0006514637,0.002451299,0.00000418379,0.00006213057,0.00009391322,0.0002045351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970254,0.01983642,0.0003977209,0.0008247808,0.000336727,0.001688934,0.006636672,0.00001382583,0.000010917],"genre_scores_gemma":[0.9919989,0.004115225,0.002859677,0.0002294493,0.0001835305,0.00009546414,0.0001061723,0.00002843694,0.0003831994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02290004,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1903779404176918,"score_gpt":0.4073085108768429,"score_spread":0.2169305704591511,"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."}}