{"id":"W4414164328","doi":"10.1016/j.csbj.2025.09.011","title":"The role of super-enhancer-driven lncRNAs in cancer","year":2025,"lang":"en","type":"article","venue":"Computational and Structural Biotechnology Journal","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Cancer; Epigenetics; Translational research; Cancer cell; Tumor cells; Cancer therapy; Cancer treatment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053845,0.0000887695,0.0001089848,0.0001269322,0.0001867435,0.0000239595,0.0002236084,0.0002013023,0.000009451521],"category_scores_gemma":[0.00005654567,0.00006481774,0.00004482594,0.0001834448,0.0002604523,0.000003802693,0.0001426087,0.0003310686,3.410786e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003406127,"about_ca_system_score_gemma":0.000200908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002440017,"about_ca_topic_score_gemma":0.00008619375,"domain_scores_codex":[0.9992786,0.00004560292,0.0002154385,0.0001635815,0.0001127478,0.0001840529],"domain_scores_gemma":[0.9996607,0.00002403986,0.0000680943,0.00009757013,0.000120177,0.00002943681],"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":[0.0001600404,0.000009306383,0.001297462,0.000009500224,0.0001243551,0.000004322233,0.00002741874,0.009234852,0.8274531,0.01381058,0.0002013123,0.1476678],"study_design_scores_gemma":[0.00133266,0.0002756811,0.01209996,0.00007743944,0.00001905826,0.0002331788,0.0003033617,0.01850506,0.8497072,0.1009264,0.0163225,0.0001975335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766614,0.01347237,0.005639408,0.003755977,0.0002015483,0.0001173322,0.00001102847,0.000005959062,0.0001349486],"genre_scores_gemma":[0.9972469,0.001892076,0.0006607389,0.00006363405,0.00004279966,0.000007246535,0.000007286848,0.000004955254,0.00007441812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1474703,"threshold_uncertainty_score":0.2643191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004279271448278201,"score_gpt":0.2754845451256527,"score_spread":0.2712052736773745,"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."}}