{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001712801,0.0004097497,0.00084088,0.00008958253,0.0001066037,0.00002911058,0.0006371647,0.0002568896,0.000009751277],"category_scores_gemma":[0.00001404898,0.0003486336,0.0008164977,0.00006792114,0.00007677433,0.000001983638,0.00006799144,0.0001355177,0.00000619176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001693927,"about_ca_system_score_gemma":0.0001597395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001971546,"about_ca_topic_score_gemma":8.903318e-7,"domain_scores_codex":[0.9986084,0.00004197001,0.0004445624,0.0005043726,0.0001156097,0.000285134],"domain_scores_gemma":[0.9982088,0.00001936632,0.000343686,0.001216187,0.0001317997,0.0000801702],"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":[0.00001190846,0.00008199165,0.000001099613,0.002582379,0.0003152096,1.285381e-7,0.0000111891,0.00001042967,0.003033704,0.00003791973,0.0002111884,0.9937028],"study_design_scores_gemma":[0.0003869324,0.0001602993,0.000003544986,0.0003665351,0.0002616081,0.000006821323,0.000002186466,0.000005236123,0.008412214,0.00005603644,0.9899936,0.0003450271],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003620784,0.8800097,0.1177703,0.000005776238,0.0004078314,0.001538667,0.0001984305,0.00001237888,0.00002065868],"genre_scores_gemma":[0.0003411315,0.9958025,0.0006277281,0.000006917334,0.0009518439,0.001234647,0.0008340505,0.00009242142,0.0001087796],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9933578,"threshold_uncertainty_score":0.9998966,"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."}}