{"id":"W2768540553","doi":"10.2174/1566523217666171121165046","title":"Therapeutic Applications of CRISPR/Cas for Duchenne Muscular Dystrophy","year":2017,"lang":"en","type":"review","venue":"Current Gene Therapy","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Dystrophin; Utrophin; CRISPR; Duchenne muscular dystrophy; Exon skipping; Muscular dystrophy; Biology; Genome editing; Exon; Bioinformatics; Medicine; Genetics; Gene; 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":[0.0003756547,0.0005580189,0.0004276135,0.0004928617,0.0003191406,0.0006510488,0.0003591046,0.0008479014,0.002534853],"category_scores_gemma":[0.0003372753,0.0002105,0.0004721642,0.0002333538,0.0004097758,0.0002087441,0.0005452008,0.0009023465,0.000616593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005336826,"about_ca_system_score_gemma":0.0004521917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009377585,"about_ca_topic_score_gemma":0.001025869,"domain_scores_codex":[0.9996056,0.00006553947,0.00003702482,0.0001034072,0.000142497,0.00004585754],"domain_scores_gemma":[0.9998493,0.00004719598,0.00003668318,0.00001863767,0.00002421126,0.00002394195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001605048,0.00009066836,0.0004956971,0.001124231,0.00008034073,0.0009470498,0.0001103781,0.002143736,0.9230758,0.003924243,0.0030847,0.06476265],"study_design_scores_gemma":[0.0001347644,0.00108044,0.002656259,0.0002629699,0.0002283789,0.004485552,0.0001033881,0.01218943,0.8283464,0.002286611,0.1481526,0.00007319324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3827823,0.1169897,0.4166127,0.003819321,0.002871048,0.001503394,0.002614463,0.006878765,0.06592821],"genre_scores_gemma":[0.8479134,0.03028716,0.1070046,0.0008206153,0.0001216823,0.0005392156,0.001197864,0.0002004355,0.01191491],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002534853,"threshold_uncertainty_score":0.008479953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09907920268079923,"score_gpt":0.4626543951073407,"score_spread":0.3635751924265415,"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."}}