{"id":"W3012393243","doi":"10.3390/genes11030342","title":"CRISPR-Generated Animal Models of Duchenne Muscular Dystrophy","year":2020,"lang":"en","type":"review","venue":"Genes","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada; University of Alberta","funders":"Faculty of Medicine and Dentistry, University of Alberta; Muscular Dystrophy Canada; Canadian Institutes of Health Research; Women and Children's Health Research Institute","keywords":"CRISPR; Duchenne muscular dystrophy; Dystrophin; Genome editing; Muscular dystrophy; Neuromuscular disease; Computational biology; Medicine; Animal model; Disease; Biology; Bioinformatics; Genetics; Gene; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000389769,0.0007176528,0.000929385,0.001390902,0.0001755972,0.0006658603,0.0006881305,0.0009099819,0.00285318],"category_scores_gemma":[0.0003221265,0.0002124862,0.0004551879,0.000794057,0.000273941,0.0005028134,0.0003826777,0.001258005,0.001450806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004086329,"about_ca_system_score_gemma":0.0005917256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000571806,"about_ca_topic_score_gemma":0.001223378,"domain_scores_codex":[0.9998491,0.00002021931,0.00001805109,0.00002764749,0.00006889099,0.00001610891],"domain_scores_gemma":[0.9998707,0.00005865587,0.0000223272,0.000004465201,0.00002865376,0.00001529094],"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":[0.00009197585,0.00009286606,0.0001919863,0.02120466,0.0001383761,0.0004723892,0.00006517513,0.0004811071,0.0233431,0.006063404,0.03245931,0.9153957],"study_design_scores_gemma":[0.0000211608,0.0001417313,0.0006261125,0.001931289,0.0001330666,0.001713888,0.00002632143,0.00008931181,0.00411016,0.001267117,0.9899183,0.00002154115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007517158,0.9929404,0.001201159,0.0003177809,0.0002708384,0.00002310425,0.0001039022,0.00006435621,0.00432674],"genre_scores_gemma":[0.002519717,0.9939873,0.000901898,0.0002870933,0.00007213288,0.00002515224,0.0001785626,0.000007956815,0.002020233],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00285318,"threshold_uncertainty_score":0.009544849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712388646830918,"score_gpt":0.3267586569727555,"score_spread":0.2996347705044463,"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."}}