{"id":"W4401715907","doi":"10.1093/nar/gkae682","title":"A CRISPR-dCas13 RNA-editing tool to study alternative splicing","year":2024,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Laboratoire d'Excellence EpiGenMed; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas; Institut National Du Cancer; National Institute for Health and Care Research; Ligue Contre le Cancer; Ministerio de Ciencia e Innovación; Centre National de la Recherche Scientifique; Université Paris-Saclay; Queen's University; Queen's University Belfast; State Key Laboratory of Molecular Biology; New York State Department of Health; Sleep Research Society Foundation","keywords":"Biology; RNA splicing; Alternative splicing; Computational biology; CRISPR; Genome editing; Gene; RNA; Intron; Genetics; Context (archaeology); Gene isoform","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005347446,0.0005196542,0.0005662657,0.0006367372,0.0005128882,0.0006930399,0.0007674459,0.0008724748,0.002173493],"category_scores_gemma":[0.0003798643,0.0003657049,0.0005586085,0.0003967541,0.0005983302,0.0003175267,0.0006807898,0.002079124,0.001007344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007018777,"about_ca_system_score_gemma":0.0005993819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008760598,"about_ca_topic_score_gemma":0.001434772,"domain_scores_codex":[0.9995415,0.00006600342,0.00004429697,0.0001268244,0.0001734735,0.00004787489],"domain_scores_gemma":[0.9997064,0.00008785292,0.00007721633,0.00004046072,0.00003054292,0.00005748642],"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":[0.00003942425,0.00002335357,0.0001615398,0.00008727786,0.00001252938,0.0001344286,0.00003232797,0.0004135215,0.9913535,0.001611343,0.000298981,0.005831826],"study_design_scores_gemma":[0.00002626878,0.0001287065,0.0008631466,0.00001990815,0.00002203383,0.0007207748,0.00002058238,0.005313715,0.9694417,0.0005608624,0.02286,0.00002229318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3222743,0.003971985,0.6443069,0.001184463,0.0005339197,0.0007112831,0.004102605,0.005579758,0.01733482],"genre_scores_gemma":[0.6773118,0.003343418,0.2991019,0.0005473064,0.0000616363,0.0006072614,0.003421696,0.0006859308,0.01491905],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002173493,"threshold_uncertainty_score":0.007271051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600648179812218,"score_gpt":0.4160998458692274,"score_spread":0.3800933640711052,"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."}}