{"id":"W4214875473","doi":"10.1186/s13045-022-01235-1","title":"The long and short non-coding RNAs modulating EZH2 signaling in cancer","year":2022,"lang":"en","type":"review","venue":"Journal of Hematology & Oncology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Cancer Science Institute of Singapore, National University of Singapore; Ministry of Education, India; Terry Fox Research Institute; National Research Foundation; Ministry of Education - Singapore; National Research Foundation Singapore; National University of Singapore; Cancer Research UK","keywords":"Hematology; EZH2; Internal medicine; Coding (social sciences); Cancer; Medicine; Long non-coding RNA; Cancer research; Oncology; Biology; Computational biology; Bioinformatics; Genetics; RNA; Histone; DNA; Gene; Mathematics","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":[0.002014211,0.0003662826,0.001735971,0.000354702,0.0002795228,0.00003498166,0.0006566547,0.0007826314,0.00005560454],"category_scores_gemma":[0.0004095157,0.0002796875,0.0004507255,0.0002958347,0.000202082,0.000007040215,0.0005890327,0.001817221,0.000001280958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004396085,"about_ca_system_score_gemma":0.001809267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002664839,"about_ca_topic_score_gemma":0.0002314813,"domain_scores_codex":[0.9964426,0.0008464349,0.001337908,0.000452554,0.0003096496,0.0006108424],"domain_scores_gemma":[0.9979652,0.000501569,0.0009287095,0.0003332877,0.0001302966,0.0001409728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001458728,0.00009354882,0.00003566758,0.001542801,0.0008652259,0.00140634,0.00007456888,0.000430719,0.003309575,0.0001862482,0.000676874,0.9912326],"study_design_scores_gemma":[0.0005442556,0.0008043239,0.000003676101,0.001441414,0.0003674988,0.008860356,0.0001311215,0.00007059119,0.001400052,0.00005176918,0.9860242,0.0003007118],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005746661,0.9958264,0.001639959,0.0002086029,0.001034588,0.0004777098,0.000007400604,0.000003249414,0.000227394],"genre_scores_gemma":[0.002040836,0.9967523,0.0003453641,0.00008505864,0.0004718449,0.0001333718,0.00001849272,0.00007388308,0.00007885781],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9909319,"threshold_uncertainty_score":0.9999655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05187591141921844,"score_gpt":0.4065663918429706,"score_spread":0.3546904804237521,"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."}}