{"id":"W2272470775","doi":"10.1016/j.molmed.2016.01.007","title":"Exon Snipping in Duchenne Muscular Dystrophy","year":2016,"lang":"en","type":"letter","venue":"Trends in Molecular Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Duchenne muscular dystrophy; Dystrophin; Exon; CRISPR; Exon skipping; Muscular dystrophy; Limiting; Genome editing; Gene; Genetics; Medicine; Bioinformatics; Biology; Alternative splicing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007699068,0.0006688952,0.001083648,0.0004583937,0.001141357,0.001363572,0.0006640482,0.01755053,0.002370288],"category_scores_gemma":[0.004633783,0.0003151718,0.000787866,0.0003637972,0.001860661,0.0007904883,0.0007139532,0.008920949,0.001214121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779974,"about_ca_system_score_gemma":0.0006301293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212321,"about_ca_topic_score_gemma":0.001713235,"domain_scores_codex":[0.9992641,0.0001635784,0.0001276907,0.0001108534,0.0001639824,0.0001698036],"domain_scores_gemma":[0.998487,0.0009254952,0.000163819,0.00007496093,0.0001130478,0.0002357112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009285821,0.0001301106,0.007814399,0.0002359365,0.0001260114,0.6324767,0.000317118,0.001033254,0.008716878,0.01366911,0.2753168,0.05923506],"study_design_scores_gemma":[0.0007209218,0.0006102406,0.0101279,0.0006530211,0.000329471,0.6091092,0.0005571987,0.006668086,0.01007509,0.03837758,0.3226094,0.0001619935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04966885,0.01063979,0.001964196,0.8791508,0.03348993,0.00004975432,0.0001856951,0.0002582906,0.02459267],"genre_scores_gemma":[0.4775708,0.01367351,0.003004281,0.3438914,0.1150939,0.00008582495,0.0001866912,0.0001164876,0.04637701],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01755053,"threshold_uncertainty_score":0.01291466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009542288190661549,"score_gpt":0.3012511888492293,"score_spread":0.2917089006585677,"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."}}