{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006218475,0.0003363437,0.0002858006,0.0005944782,0.000205411,0.0004414401,0.0003152541,0.0002830412,0.0005712408],"category_scores_gemma":[0.0007853598,0.0005022745,0.0005417495,0.0007244425,0.0002343569,0.0002596905,0.0003370418,0.0003095888,0.0001004604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002672567,"about_ca_system_score_gemma":0.0002927366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005423398,"about_ca_topic_score_gemma":0.006073675,"domain_scores_codex":[0.9997594,0.00007201442,0.00003549662,0.00007126073,0.00002705059,0.00003481211],"domain_scores_gemma":[0.9993771,0.0001012661,0.0002539185,0.00005322096,0.00005862295,0.0001559505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003826645,0.00004220498,0.9974065,0.00001270894,0.0001114623,0.00009472397,0.00005826326,0.00003270162,0.0007136627,0.00001445278,0.00004531013,0.001085284],"study_design_scores_gemma":[0.00003026623,0.0001194046,0.9989539,0.000004046608,0.00007683547,0.0002732727,0.0001209131,0.000206071,0.0001024846,0.00001741303,0.0000910482,0.000004225907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994853,0.0003369973,0.00003736691,0.00001972052,0.000002252531,0.000003605749,0.00005164394,0.000001587598,0.00006165746],"genre_scores_gemma":[0.9996456,0.0001232743,0.00005210831,0.00002071867,0.000002189101,0.00000389047,0.0000867766,0.000001052915,0.0000644277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005423398,"threshold_uncertainty_score":0.01078367,"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."}}