{"id":"W4210696891","doi":"10.3390/ijms23031832","title":"CRISPR Therapeutics for Duchenne Muscular Dystrophy","year":2022,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada; University of Alberta","funders":"University of Alberta; Women and Children's Health Research Institute; Children's Health Research Institute","keywords":"CRISPR; Duchenne muscular dystrophy; Dystrophin; Genome editing; Biology; Genetics; Muscular dystrophy; Gene; Guide RNA; mdx mouse; Cas9; Computational biology; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005888569,0.0002162551,0.0004115751,0.0002341181,0.00007503277,0.00008969017,0.001302252,0.0001096531,0.00003479032],"category_scores_gemma":[0.0001083551,0.0001775106,0.0007663207,0.0001308934,0.00009340543,0.000006105693,0.0001697201,0.0001805581,0.000001112513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004318724,"about_ca_system_score_gemma":0.0003773225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001678131,"about_ca_topic_score_gemma":5.146401e-7,"domain_scores_codex":[0.9983891,0.00007157387,0.0005159148,0.0002633866,0.0005716641,0.0001883257],"domain_scores_gemma":[0.9990678,0.00004413128,0.000440185,0.0001662257,0.0002207162,0.00006090207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002572684,0.00008498076,0.000002068446,0.0003844175,0.00118234,0.00008466088,0.00003303965,0.001582825,0.005063215,0.0003050631,0.0004389637,0.9908127],"study_design_scores_gemma":[0.0002035925,0.0003838873,5.969412e-7,0.0002308079,0.0002306156,0.0003744539,0.0000323915,0.00002495348,0.001611705,0.00008040741,0.9966368,0.0001897643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002565129,0.9534841,0.04425649,0.00006820722,0.001610736,0.0001723638,0.00003882782,0.000003054768,0.000109683],"genre_scores_gemma":[0.000807083,0.9935175,0.004835959,0.0001293426,0.0005658738,0.00002364216,0.00004168176,0.00003028576,0.00004859614],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9961979,"threshold_uncertainty_score":0.7238671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291168171114318,"score_gpt":0.4086295397511938,"score_spread":0.3657178580400506,"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."}}