{"id":"W3036667822","doi":"10.1007/s40778-020-00173-3","title":"In Vivo Genome Engineering for the Treatment of Muscular Dystrophies","year":2020,"lang":"en","type":"article","venue":"Current Stem Cell Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"CRISPR; Cas9; Genome editing; Muscular dystrophy; Biology; Genetic enhancement; Phenotype; Computational biology; Muscle disorder; Gene; Genetics; Bioinformatics; Medicine; 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":[0.0002854629,0.0004126209,0.0003647872,0.0003194018,0.0001788161,0.0004600202,0.0003636521,0.000583184,0.002033679],"category_scores_gemma":[0.0001441191,0.00017477,0.0003313143,0.0001471642,0.0003179938,0.0001943476,0.0003282627,0.0009872594,0.0004821959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827898,"about_ca_system_score_gemma":0.0002481754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000422911,"about_ca_topic_score_gemma":0.0007412593,"domain_scores_codex":[0.9998006,0.00004972169,0.00001254209,0.00003447213,0.00007190168,0.00003082912],"domain_scores_gemma":[0.9999392,0.00001480944,0.00001922759,0.000009486749,0.000005640474,0.00001165024],"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":[0.00005221682,0.00003585727,0.00004568901,0.00009371684,0.00001213076,0.00005507978,0.00001589428,0.0001907367,0.993188,0.0008276794,0.0003292477,0.00515383],"study_design_scores_gemma":[0.00002844468,0.0003137148,0.0008189903,0.00002369224,0.00006287455,0.0007657592,0.00002347764,0.001018563,0.9726527,0.0003395856,0.02394376,0.000008533793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7280148,0.03518591,0.2047748,0.003869961,0.001288469,0.0003486727,0.00233341,0.002243505,0.02194049],"genre_scores_gemma":[0.9394094,0.01617834,0.03146965,0.0005453301,0.00009974985,0.0001140641,0.001242153,0.0002488528,0.01069241],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002033679,"threshold_uncertainty_score":0.006803334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370532217596285,"score_gpt":0.2678671630534543,"score_spread":0.2541618408774915,"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."}}