{"id":"W3200668385","doi":"10.1016/j.jmoldx.2021.09.002","title":"DNA Methylation-Based Classification of Small B-Cell Lymphomas","year":2021,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Seventh Framework Programme; Canadian Institutes of Health Research; Terry Fox Research Institute; Princess Margaret Cancer Foundation; European Commission; Government of Ontario; University of Toronto; Ontario Institute for Cancer Research","keywords":"Mantle cell lymphoma; Medical diagnosis; Follicular lymphoma; Concordance; DNA methylation; Lymphoma; Chronic lymphocytic leukemia; Methylation; Computational biology; Biology; Pathology; Computer science; Medicine; Bioinformatics; Leukemia; Immunology; Gene; Genetics; Gene expression","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":[0.000986941,0.000270157,0.000295666,0.001995164,0.0002379203,0.0006830257,0.0004250566,0.0004018482,0.001396878],"category_scores_gemma":[0.001522178,0.0001069397,0.0002214533,0.0005220099,0.0002678334,0.0003037062,0.0004443889,0.0003760975,0.0003808242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002856042,"about_ca_system_score_gemma":0.0001929523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057442,"about_ca_topic_score_gemma":0.001676795,"domain_scores_codex":[0.9995764,0.0001092696,0.00004083785,0.00007137541,0.0001206243,0.00008155588],"domain_scores_gemma":[0.9993613,0.0001997214,0.000150234,0.00004421083,0.0001391358,0.0001053954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001659826,0.00007231707,0.8611683,0.0001141864,0.0002137804,0.0002089626,0.0002185964,0.0009566623,0.06223432,0.0003120746,0.0007392165,0.07210167],"study_design_scores_gemma":[0.00005335995,0.0005333183,0.9555556,0.0000560784,0.0003282721,0.002325109,0.0004973739,0.01481563,0.02060967,0.001292854,0.0039068,0.00002590605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931417,0.001719562,0.002103964,0.0001270819,0.00002264477,0.00003630286,0.0005599054,0.00006546328,0.002223489],"genre_scores_gemma":[0.9979106,0.0002142869,0.001046973,0.00002141671,0.00001682449,0.00001275329,0.0004314582,0.000007458719,0.0003382769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001995164,"threshold_uncertainty_score":0.00521946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978921822908271,"score_gpt":0.2603741962996482,"score_spread":0.2405849780705655,"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."}}