{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001701927,0.0002958967,0.0004703082,0.00009949838,0.0002660757,0.00003621422,0.0005424688,0.0002821978,0.0004252507],"category_scores_gemma":[0.000134066,0.0002821617,0.0002758632,0.000493927,0.0003010318,0.000004767728,0.0004672647,0.0004868634,0.00001873343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000047023,"about_ca_system_score_gemma":0.0005072378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009598192,"about_ca_topic_score_gemma":0.0001674838,"domain_scores_codex":[0.996105,0.0006510798,0.001335729,0.001034203,0.0003208169,0.0005531964],"domain_scores_gemma":[0.9979602,0.0001729877,0.0003614016,0.001005394,0.000201556,0.0002984836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002954872,0.0007754477,0.9542971,0.00001209717,0.000121989,0.000005694754,0.00002683194,0.002352408,0.008238402,0.0000675922,0.001930425,0.0318765],"study_design_scores_gemma":[0.001521908,0.000721491,0.878757,0.00001198365,0.0000752239,0.000009150536,0.00003667913,0.000894442,0.002544365,0.0008931472,0.114067,0.0004675662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830452,0.005559864,0.004790024,0.004235144,0.0006196204,0.0006188131,0.0004756041,0.0000233147,0.0006324383],"genre_scores_gemma":[0.9858112,0.00793253,0.002538547,0.001820102,0.0004153865,0.0003147869,0.0001678008,0.00008022826,0.0009193834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121366,"threshold_uncertainty_score":0.999963,"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."}}