{"id":"W4388776556","doi":"10.1016/j.jlb.2023.100020","title":"Heterochromatin Profiling in Lymphoma Patient Plasma for the Discovery of Novel Chromatin Variants","year":2023,"lang":"en","type":"article","venue":"The Journal of Liquid Biopsy","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Heterochromatin; Chromatin; Computational biology; Profiling (computer programming); Biology; Genetics; Computer science; DNA","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":[0.0003098457,0.0001830059,0.0002053481,0.001185656,0.0003178029,0.0005562304,0.0002678666,0.0005047272,0.003239971],"category_scores_gemma":[0.0005807379,0.0001458438,0.0001476288,0.0004858488,0.0001758166,0.0001755287,0.0002440528,0.0004289553,0.0004481152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650105,"about_ca_system_score_gemma":0.0001159028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005189446,"about_ca_topic_score_gemma":0.0008800791,"domain_scores_codex":[0.9997782,0.00004318963,0.00001357444,0.00006147224,0.00006535884,0.00003824094],"domain_scores_gemma":[0.9998159,0.00008538234,0.00002221568,0.00002266043,0.00002821864,0.00002567984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001377477,0.0001381391,0.1743868,0.0001120178,0.00008958775,0.002855935,0.0003643945,0.0005598452,0.7688029,0.0006906656,0.001468467,0.04915377],"study_design_scores_gemma":[0.0001108948,0.0006837996,0.5496264,0.00008565818,0.0002153147,0.02559294,0.0008614698,0.01688099,0.3931282,0.002363428,0.01042221,0.00002859468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888172,0.001503179,0.005763436,0.0003457077,0.00002651535,0.0000381392,0.0007446673,0.0001853373,0.002575794],"genre_scores_gemma":[0.9970795,0.000207558,0.001609883,0.0001309949,0.0000157384,0.00001594674,0.0002972113,0.00001784922,0.0006253797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003239971,"threshold_uncertainty_score":0.01083875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390320900065651,"score_gpt":0.245299050629991,"score_spread":0.2313958416293345,"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."}}