{"id":"W4321786118","doi":"10.1038/s41392-023-01346-2","title":"From tuberculosis bedside to bench: UBE2B splicing as a potential biomarker and its regulatory mechanism","year":2023,"lang":"en","type":"article","venue":"Signal Transduction and Targeted Therapy","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto; University Health Network","funders":"West China Hospital, Sichuan University; Peking University; Sichuan University; Tsinghua University; National Natural Science Foundation of China","keywords":"RNA splicing; Mycobacterium tuberculosis; Tuberculosis; Biology; Biomarker; Intron; Transcriptome; Exon; Computational biology; Alternative splicing; Proteome; Genetics; Bioinformatics; Medicine; RNA; Gene; Gene expression; Pathology","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":[0.0001891225,0.0001998548,0.0001647321,0.0001140863,0.0001761884,0.00004006255,0.00007889053,0.0001885951,0.0003550457],"category_scores_gemma":[0.000008311282,0.000188545,0.00008114566,0.000170014,0.00002676627,0.00001119903,0.00002274634,0.00006359563,0.00002459952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005601141,"about_ca_system_score_gemma":0.0000219608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008736181,"about_ca_topic_score_gemma":0.000007468328,"domain_scores_codex":[0.9988329,0.0001015156,0.000178316,0.000483043,0.0001631564,0.0002410553],"domain_scores_gemma":[0.9995927,0.00001133807,0.00003652122,0.0001554551,0.00004417323,0.0001598774],"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":[0.0002893602,0.00001886307,0.00001343652,0.000005799556,0.0001351139,0.000004942309,0.0002653735,0.00001646132,0.9812758,0.0002531023,0.00009111979,0.01763063],"study_design_scores_gemma":[0.000607107,0.0002980181,0.001206511,0.00001623949,0.00002251435,0.00001803857,0.0002407314,0.0001395644,0.9899355,0.004980986,0.002288794,0.0002460024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993571,0.001894743,0.002878118,0.0009240131,0.0002605627,0.0003382714,0.0000352422,0.00005842219,0.00003965518],"genre_scores_gemma":[0.9963732,0.002062674,0.0003857004,0.0004801906,0.0002872034,0.00003709173,0.00009417361,0.00003581267,0.0002438989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738462,"threshold_uncertainty_score":0.7688643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542591625548793,"score_gpt":0.2454315605640061,"score_spread":0.2300056443085182,"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."}}