{"id":"W2171679412","doi":"10.1158/1055-9965.epi-08-0133","title":"Serum High-Density Lipoprotein Cholesterol and Breast Cancer Risk by Menopausal Status, Body Mass Index, and Hormonal Receptor in Korea","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"inVentiv Health Clinical","funders":"","keywords":"Breast cancer; Medicine; Body mass index; Internal medicine; Odds ratio; Endocrinology; Triglyceride; Menopause; Estrogen receptor; Oncology; Cancer; Cholesterol","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":[0.001100663,0.0003418921,0.0005392856,0.00009620703,0.0001231057,0.00001774823,0.0001284989,0.0004778088,0.00004917827],"category_scores_gemma":[0.00009977207,0.0003352398,0.00006947565,0.0001206056,0.0002727805,0.00002912712,0.00008094341,0.0002678945,0.000001413324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117396,"about_ca_system_score_gemma":0.0001440933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008660441,"about_ca_topic_score_gemma":0.004282834,"domain_scores_codex":[0.9971533,0.0006982133,0.000537555,0.0008730624,0.0001044053,0.0006333964],"domain_scores_gemma":[0.9989747,0.0000425712,0.0003713199,0.0002935299,0.00006960804,0.0002482035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001305686,0.00008247065,0.3897934,0.00003684309,0.0002810603,2.088078e-7,0.00003025477,0.00001458529,0.3243209,0.00003864856,0.02888332,0.2552126],"study_design_scores_gemma":[0.002306495,0.0003255042,0.962275,0.00008581536,0.0001036344,0.000009536036,0.00003066084,0.00006944031,0.003142424,0.00149463,0.02978525,0.0003716091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607436,0.03277631,0.0008079336,0.002194201,0.00210465,0.0005803849,0.0007457114,0.00002341609,0.00002379916],"genre_scores_gemma":[0.9425526,0.0528422,0.0005779229,0.0007635984,0.002297622,0.0001863545,0.0004165941,0.00002959254,0.0003335211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5724816,"threshold_uncertainty_score":0.9999099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008152169289786366,"score_gpt":0.2768785693267218,"score_spread":0.2687264000369354,"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."}}