{"id":"W4409365773","doi":"10.2147/dnnd.s495536","title":"Gene Editing for Duchenne Muscular Dystrophy: From Experimental Models to Emerging Therapies","year":2025,"lang":"en","type":"review","venue":"Degenerative Neurological and Neuromuscular Disease","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada; University of Alberta","funders":"","keywords":"Duchenne muscular dystrophy; Genome editing; Muscular dystrophy; Medicine; Computer science; Computational biology; Gene; Biology; CRISPR; Genetics; Internal medicine","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":[0.000842778,0.0009145201,0.001364837,0.002239537,0.0002329421,0.001024637,0.001096698,0.001212552,0.002995512],"category_scores_gemma":[0.000659142,0.000368216,0.0005595304,0.001459291,0.0006732261,0.001351731,0.0007965554,0.002340572,0.001773274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007145828,"about_ca_system_score_gemma":0.0009068983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007370053,"about_ca_topic_score_gemma":0.001068893,"domain_scores_codex":[0.9997483,0.00004520361,0.00002825149,0.00004503013,0.0001078888,0.00002540742],"domain_scores_gemma":[0.9997296,0.0001522665,0.00002836551,0.00001146265,0.00005070568,0.00002761606],"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":[0.00009097643,0.0001218418,0.0001062359,0.01849673,0.0001091322,0.0002725541,0.00008900042,0.0006612401,0.007178711,0.01167963,0.03345226,0.9277416],"study_design_scores_gemma":[0.00002100978,0.0001102556,0.000314262,0.002582124,0.00006995789,0.0007927089,0.00003263913,0.0001091946,0.001034818,0.002920332,0.9919922,0.00002043816],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001298586,0.9980289,0.0003661888,0.0002386492,0.0001664404,0.000006119354,0.00001944003,0.00001856489,0.001025888],"genre_scores_gemma":[0.0006245069,0.9982305,0.0003381972,0.0001774134,0.00009316516,0.00001043927,0.00002957536,0.000003147847,0.0004931152],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002995512,"threshold_uncertainty_score":0.01002103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109345762769829,"score_gpt":0.3319463459376829,"score_spread":0.3008528883099846,"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."}}