{"id":"W4254089262","doi":"10.21203/rs.3.rs-40207/v1","title":"L1 retrotransposons exploit RNA m6A modification as an evolutionary driving force","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Kootenay Association for Science & Technology","funders":"Samsung; Samsung Science and Technology Foundation; Institute for Basic Science; Seoul National University; Compute Canada","keywords":"Exploit; Retrotransposon; RNA; Computer science; Computational biology; Biology; Evolutionary biology; Gene; Computer security; Genetics; Transposable element; Genome","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":[0.0001293982,0.0002557471,0.0001214207,0.000185751,0.0002501078,0.0004174335,0.000158748,0.0004198988,0.001272437],"category_scores_gemma":[0.0001191235,0.00009157875,0.0001727675,0.0001328932,0.0003097901,0.0002231811,0.0002227822,0.0003547135,0.000650544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002350823,"about_ca_system_score_gemma":0.0001155726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002460965,"about_ca_topic_score_gemma":0.000296347,"domain_scores_codex":[0.9999368,0.000009926627,0.000002736571,0.00001885763,0.00001459721,0.000017107],"domain_scores_gemma":[0.9999183,0.0000119604,0.0000325179,0.00001201823,0.000008448157,0.00001663707],"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":[0.00007228624,0.00001148461,0.002974252,0.00003054482,0.000006281328,0.0001775517,0.00002423379,0.0001739614,0.9919768,0.0008714692,0.00007244275,0.003608738],"study_design_scores_gemma":[0.00001024189,0.0002629375,0.01812808,0.00001001088,0.00001932167,0.00152696,0.0001024808,0.002673527,0.9683952,0.001018312,0.007839476,0.00001341345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892916,0.0009408495,0.005409176,0.0001606022,0.00002181751,0.00001211475,0.0001273762,0.0001308826,0.003905581],"genre_scores_gemma":[0.9941261,0.000270894,0.003087684,0.00004953496,0.000008487438,0.000003879797,0.0001466764,0.00001455642,0.002292261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001272437,"threshold_uncertainty_score":0.004256725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09458949416159855,"score_gpt":0.4074261637906144,"score_spread":0.3128366696290158,"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."}}