{"id":"W4311835442","doi":"10.1186/s13148-022-01396-3","title":"THOR is a targetable epigenetic biomarker with clinical implications in breast cancer","year":2022,"lang":"en","type":"article","venue":"Clinical Epigenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"Fundação para a Ciência e a Tecnologia; Centro de Investigação em Biomedicina; Liga Portuguesa Contra o Cancro; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Breast cancer; Biomarker; Epigenetics; Human genetics; Medicine; Cancer; Oncology; Bioinformatics; Internal medicine; Biology; Computational biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007895906,0.0002796655,0.0003885475,0.0006102982,0.0001631477,0.0005334732,0.0003087884,0.0005621527,0.001787014],"category_scores_gemma":[0.00118532,0.0001829352,0.0002719601,0.0005816637,0.0003099337,0.0002317845,0.000334643,0.0005101349,0.0004278584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443872,"about_ca_system_score_gemma":0.0002677461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005104749,"about_ca_topic_score_gemma":0.001062602,"domain_scores_codex":[0.9996202,0.00007160271,0.00002484334,0.0001089031,0.0001350214,0.00003948556],"domain_scores_gemma":[0.9994168,0.0001799693,0.0002208123,0.00003675,0.0001083401,0.00003736478],"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":[0.002029996,0.0001863321,0.2648486,0.001724793,0.0004143817,0.0005433632,0.0002058057,0.002499789,0.5516724,0.0009632651,0.002482231,0.172429],"study_design_scores_gemma":[0.00008215458,0.001838066,0.5859186,0.000255216,0.001084062,0.005529802,0.0002810567,0.009700363,0.3580811,0.002919666,0.0342401,0.00006987325],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132994,0.06031703,0.01429455,0.001492506,0.0002206843,0.0001000458,0.003749018,0.0003400572,0.006186754],"genre_scores_gemma":[0.9826033,0.006250495,0.006946302,0.0003536988,0.0001042058,0.00005624123,0.001476516,0.00002578917,0.002183357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001787014,"threshold_uncertainty_score":0.005978107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06110853093235211,"score_gpt":0.3999807842397384,"score_spread":0.3388722533073864,"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."}}