{"id":"W4389513513","doi":"10.1016/j.exphem.2023.11.009","title":"Epigenetic vulnerabilities of leukemia harboring inactivating EZH2 mutations","year":2023,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Structural Genomics Consortium; Princess Margaret Cancer Centre; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Genentech; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Pfizer; Leukemia and Lymphoma Society of Canada; Ontario Genomics; Bayer; Cancer Research Society; Genome Canada; Mitacs; Leukemia and Lymphoma Society; McGill University; Bristol-Myers Squibb","keywords":"EZH2; Epigenetics; Leukemia; Cancer research; Biology; Genetics; Computational biology; 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":[0.0001127271,0.0001406037,0.0001240252,0.0001889368,0.000110855,0.0002415483,0.0001361336,0.0001976296,0.00272752],"category_scores_gemma":[0.0002108778,0.00006837238,0.000102821,0.000161637,0.0002175801,0.0001644515,0.0002367646,0.0002854143,0.0001708824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789551,"about_ca_system_score_gemma":0.0001072853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002558829,"about_ca_topic_score_gemma":0.0004430902,"domain_scores_codex":[0.999912,0.0000123433,0.000006801734,0.00001638022,0.00002427979,0.00002817835],"domain_scores_gemma":[0.9999571,0.00001069983,0.00001413926,0.000007104791,0.000003557395,0.000007357496],"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":[0.0006379543,0.00007503291,0.007433181,0.00005641889,0.00004399073,0.0004596413,0.00008276329,0.0003233353,0.9757594,0.00216884,0.0003114192,0.01264798],"study_design_scores_gemma":[0.0001629619,0.0009935392,0.118789,0.00002042543,0.0001615984,0.0067043,0.0004540169,0.002633148,0.8525017,0.002345471,0.01521419,0.00001966178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997318,0.0005647092,0.0005645948,0.00009613849,0.00001139278,0.000006104565,0.0002175955,0.00002465218,0.001196872],"genre_scores_gemma":[0.9990128,0.0002564137,0.000130257,0.0000301061,0.000003951205,0.000004306798,0.0001226435,0.00000409574,0.0004354369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00272752,"threshold_uncertainty_score":0.009124398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660358536710746,"score_gpt":0.3578019010850984,"score_spread":0.321198315717991,"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."}}