{"id":"W6944399604","doi":"10.17863/cam.41124","title":"Genetically predicted levels of DNA methylation biomarkers and breast cancer risk: data from 228,951 women of European descent","year":2019,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Ministero dello Sviluppo Economico; National Institutes of Health; Vanderbilt University Medical Center; Cancer Research UK; Government of Canada; Fondation du cancer du sein du Québec; Vanderbilt University; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Canadian Institutes of Health Research; Genome Canada; European Commission","keywords":"DNA methylation; Breast cancer; CpG site; Methylation; Cancer; Framingham Heart Study","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003024606,0.0001005693,0.0001942202,0.00005958028,0.00003335669,0.000004118411,0.0002825349,0.00008276146,0.00007592132],"category_scores_gemma":[0.00002623589,0.0001169987,0.00004374117,0.0000985753,0.0001260081,0.00001223495,0.0003138525,0.0000450004,0.000001662509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001496536,"about_ca_system_score_gemma":0.00007154888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009606974,"about_ca_topic_score_gemma":0.00007800825,"domain_scores_codex":[0.9990824,0.0001506242,0.0001742566,0.0003080637,0.0001558753,0.0001288208],"domain_scores_gemma":[0.9989788,0.00002517539,0.0002838128,0.0004941695,0.0001405354,0.00007749645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002193657,0.00004545967,0.09247175,0.00003915171,0.0002535134,5.968463e-7,0.0001611388,0.00004504458,0.8933412,0.00001451874,0.0001205512,0.01328773],"study_design_scores_gemma":[0.0009408593,0.0001388163,0.8959559,0.00002979376,0.00008845711,4.012165e-7,0.0002819267,0.0009063496,0.1006486,0.00001237767,0.0008805407,0.0001159021],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912288,0.0006637923,0.003888342,0.00004994297,0.00005549447,0.0001459784,0.003424063,0.000004204709,0.0005393589],"genre_scores_gemma":[0.9967396,0.00112846,0.001654001,0.000006799164,0.00002814253,1.400902e-7,0.0002851091,0.00001201123,0.0001457299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8034842,"threshold_uncertainty_score":0.4771067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426845151523991,"score_gpt":0.2218255614392777,"score_spread":0.2075571099240378,"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."}}