{"id":"W4205912605","doi":"10.26434/chemrxiv-2022-nx2gg","title":"PhOxi-Seq: Single-nucleotide resolution sequencing of N2-methylation at guanosine in RNA by photoredox catalysis","year":2022,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; York University","keywords":"Methylation; RNA; Guanosine; RNA methylation; Deep sequencing; Biology; Transfer RNA; DNA methylation; Nucleotide; Computational biology; Genetics; Chemistry; Biochemistry; DNA; Gene; Genome; Methyltransferase; Gene expression","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":[0.0004038215,0.000440305,0.0002767776,0.0002144873,0.0002912304,0.0004054858,0.0004634091,0.0006514079,0.002652097],"category_scores_gemma":[0.0003431357,0.0002968824,0.0002082453,0.0001827914,0.0003480479,0.0003026155,0.0004766653,0.0009375986,0.001241792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275334,"about_ca_system_score_gemma":0.0002616544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006761395,"about_ca_topic_score_gemma":0.001920205,"domain_scores_codex":[0.9997777,0.00002530887,0.000007095257,0.00009251475,0.00007414201,0.00002317733],"domain_scores_gemma":[0.9998702,0.00003871487,0.00002032281,0.00003665349,0.00001580801,0.00001815443],"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":[0.0000617124,0.00001071869,0.0003343111,0.00006298877,0.0000124894,0.00005142214,0.00005198266,0.0003196302,0.9908279,0.0005840676,0.0008952936,0.006787665],"study_design_scores_gemma":[0.000009357287,0.00003975738,0.001235069,0.000005035415,0.000004733196,0.0001052412,0.00001945975,0.003488077,0.9870123,0.0004408691,0.007628581,0.00001146712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6545793,0.002543804,0.3010141,0.0008208642,0.0004212784,0.0002318517,0.01003522,0.01246327,0.01789042],"genre_scores_gemma":[0.7231287,0.001894962,0.2414446,0.0007257588,0.00008541616,0.0003470329,0.01049676,0.002173672,0.01970308],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002652097,"threshold_uncertainty_score":0.008872211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274666866687943,"score_gpt":0.2575985408108033,"score_spread":0.2348518721439239,"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."}}