{"id":"W3128502844","doi":"10.1038/s41467-021-21197-1","title":"L1 retrotransposons exploit RNA m6A modification as an evolutionary driving force","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Institute for Basic Science; National Research Foundation of Korea; Dankook University; Compute Canada","keywords":"Retrotransposon; Exploit; RNA; Computational biology; Biology; Evolutionary biology; Computer science; Genetics; Gene; Transposable element; Genome; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0001351845,0.0001405021,0.000108139,0.00004943002,0.0004917071,0.00004831343,0.0008564673,0.0003703358,0.00005111198],"category_scores_gemma":[0.0001529425,0.0001581829,0.0001048724,0.0002825089,0.000117581,0.00002501865,0.000168943,0.0004628115,0.00002653769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005536637,"about_ca_system_score_gemma":0.0002793614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001663753,"about_ca_topic_score_gemma":0.000317721,"domain_scores_codex":[0.9988653,0.000173463,0.00022754,0.0003792818,0.0001614362,0.0001929449],"domain_scores_gemma":[0.9964272,0.00002421047,0.00009205818,0.002909087,0.0004390792,0.000108323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002239144,0.0003619426,0.002139773,0.00000851724,0.00007351835,0.000001258456,0.0001774532,0.0001579483,0.9338467,0.05081978,0.006830052,0.00556065],"study_design_scores_gemma":[0.0009724337,0.000217184,0.05868352,0.00007675803,0.0001467154,0.0001016454,0.001432088,0.004217245,0.1815579,0.004944994,0.7467011,0.0009484265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8491664,0.05869674,0.01968761,0.0225472,0.0005678081,0.0007680581,0.0002334343,0.0002093953,0.04812334],"genre_scores_gemma":[0.9781641,0.003588316,0.01255406,0.0005526554,0.0001481655,0.0001700657,0.00249224,0.00002989059,0.0023005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7522889,"threshold_uncertainty_score":0.645051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390071201440219,"score_gpt":0.3172595937448202,"score_spread":0.293358881730418,"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."}}