{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003954008,0.0008963366,0.000913804,0.001970701,0.0002701117,0.000700049,0.0008522751,0.001133261,0.005044663],"category_scores_gemma":[0.000411077,0.0002469817,0.000583331,0.0009825461,0.0003893748,0.0006127236,0.0006959199,0.002281638,0.003070492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006958934,"about_ca_system_score_gemma":0.0006123661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006840478,"about_ca_topic_score_gemma":0.001199682,"domain_scores_codex":[0.9997949,0.00003502618,0.00002261287,0.0000352426,0.00009049386,0.00002177396],"domain_scores_gemma":[0.9998662,0.00005875791,0.00001936791,0.000006751674,0.00002979132,0.0000191086],"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":[0.00006675297,0.00008482202,0.00007078384,0.009374608,0.00008058275,0.0003119174,0.00005430985,0.0004879273,0.007136381,0.007514858,0.05057679,0.9242403],"study_design_scores_gemma":[0.00002372376,0.00009148799,0.0003085515,0.001242165,0.00005222686,0.001195139,0.00001434299,0.00009701664,0.001551323,0.001815275,0.9935922,0.00001654646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002896867,0.9936381,0.001015782,0.0003988561,0.0004798126,0.00001745064,0.00004775244,0.0000826129,0.004029879],"genre_scores_gemma":[0.002795648,0.9914521,0.001165353,0.0004862265,0.0001754382,0.00003435751,0.000141115,0.00001356119,0.003736101],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005044663,"threshold_uncertainty_score":0.0168761,"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."}}