{"id":"W1954913131","doi":"10.1186/s13024-015-0031-x","title":"CRISPR/Cas9: a powerful genetic engineering tool for establishing large animal models of neurodegenerative diseases","year":2015,"lang":"en","type":"review","venue":"Molecular Neurodegeneration","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Chinese Academy of Sciences; National Institute of Neurological Disorders and Stroke; National Institute on Aging; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; National Institutes of Health","keywords":"CRISPR; Cas9; Genome editing; Neuroscience; Biology; Computational biology; Animal model; Human genetics; Disease; Bioinformatics; Medicine; Gene; Genetics; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006078522,0.0009671113,0.001216019,0.003292975,0.0002672373,0.0009965579,0.0009910766,0.001179719,0.002429958],"category_scores_gemma":[0.000366331,0.0003298142,0.0005637731,0.002032029,0.0006842,0.001019869,0.0006644216,0.001984914,0.002462518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006903569,"about_ca_system_score_gemma":0.0007124501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007512419,"about_ca_topic_score_gemma":0.001206399,"domain_scores_codex":[0.9997384,0.00003126781,0.00003413774,0.00004860009,0.000124314,0.00002336038],"domain_scores_gemma":[0.9997723,0.00009339648,0.00004220635,0.00001169329,0.00005131614,0.00002915969],"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":[0.00004379082,0.00006599756,0.0001708386,0.01064277,0.00007959443,0.0004185291,0.00006110701,0.000590264,0.03078587,0.007486542,0.02367812,0.9259766],"study_design_scores_gemma":[0.000008487332,0.00004912703,0.0005033347,0.0009296543,0.00006335007,0.001645556,0.00002850134,0.0001352257,0.008326548,0.002025557,0.986257,0.00002772701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005448853,0.9872473,0.005123647,0.0004832573,0.0003465489,0.00002997045,0.0001198156,0.000140399,0.005964095],"genre_scores_gemma":[0.002456254,0.9905986,0.003340295,0.0002584819,0.0001091625,0.00002789234,0.0001920144,0.00001941795,0.002997943],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003292975,"threshold_uncertainty_score":0.00812906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928035696845785,"score_gpt":0.3215779986340965,"score_spread":0.3022976416656386,"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."}}