{"id":"W4400800494","doi":"10.1101/2024.07.18.603998","title":"FASTKD5 processes mitochondrial pre-mRNAs at non-canonical cleavage sites","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Göttinger Graduiertenschule für Neurowissenschaften, Biophysik und Molekulare Biowissenschaften; Georg-August-Universität Göttingen; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Non canonical; Cleavage (geology); Chemistry; Mitochondrial DNA; Cell biology; Biology; Biochemistry; Gene; Paleontology","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":[0.0002052657,0.0004652412,0.0002087802,0.0002267978,0.0002538643,0.0004442952,0.000270123,0.0003711407,0.00192664],"category_scores_gemma":[0.0001957363,0.0001746965,0.0003283297,0.000112316,0.0002132463,0.0002738363,0.0002411781,0.0004159503,0.0009455888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005988748,"about_ca_system_score_gemma":0.0002015861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032574,"about_ca_topic_score_gemma":0.001284097,"domain_scores_codex":[0.9998559,0.00001414798,0.00001224448,0.00004726002,0.00003649911,0.00003389037],"domain_scores_gemma":[0.9998645,0.00003298857,0.00002693291,0.00002259196,0.00001981924,0.00003324017],"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":[0.0001848284,0.00001925387,0.0005771452,0.00009306749,0.000007125317,0.0001252047,0.00002083253,0.0001942875,0.9966629,0.0003506645,0.0001182614,0.001646402],"study_design_scores_gemma":[0.000007683142,0.00006206445,0.003194826,0.000006723711,0.000004682746,0.0002627369,0.00002069329,0.001231676,0.9923919,0.00007435974,0.002738211,0.00000449843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837065,0.001814904,0.01086222,0.0001133938,0.00007099805,0.00003046406,0.001105362,0.0001885742,0.002107648],"genre_scores_gemma":[0.9815025,0.0005214133,0.008168227,0.00008545105,0.00001057419,0.00001795052,0.002736626,0.00008873885,0.006868524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00192664,"threshold_uncertainty_score":0.006445229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083921820163108,"score_gpt":0.2385515736284578,"score_spread":0.2277123554268267,"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."}}