{"id":"W3024596941","doi":"10.1016/j.cll.2020.02.008","title":"Therapeutic Gene Editing with CRISPR","year":2020,"lang":"en","type":"review","venue":"Clinics in Laboratory Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"CRISPR; Genome editing; Computational biology; Gene; Biology; Genetics","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":[0.0006273124,0.001430982,0.00128576,0.001915968,0.0002160971,0.001033558,0.0009099061,0.001215144,0.004513451],"category_scores_gemma":[0.0006374974,0.0003070986,0.0005358801,0.001195186,0.0006005092,0.0008025863,0.000824868,0.002790803,0.002395164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714822,"about_ca_system_score_gemma":0.0007043805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000598446,"about_ca_topic_score_gemma":0.001199962,"domain_scores_codex":[0.9997943,0.00003964206,0.00001741748,0.00003970116,0.00007971365,0.00002928167],"domain_scores_gemma":[0.999845,0.0000845695,0.00001875398,0.000008768567,0.00002318263,0.00001965213],"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":[0.00008463876,0.00009428576,0.00005054739,0.006562194,0.00006027041,0.0001585753,0.00002174547,0.0005604291,0.005360061,0.007082376,0.04967402,0.9302909],"study_design_scores_gemma":[0.00004823763,0.00009182336,0.0002463762,0.001517703,0.00009847103,0.001046243,0.0000160744,0.0002434582,0.002705336,0.003520926,0.9904425,0.00002278332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001905384,0.9918236,0.002202634,0.0004213654,0.0006531163,0.00001991357,0.00004696942,0.00007640477,0.00456548],"genre_scores_gemma":[0.002227582,0.9912532,0.001496847,0.0006958188,0.0003701021,0.00003766292,0.0001409678,0.00001407334,0.003763712],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004513451,"threshold_uncertainty_score":0.01509899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03298746278287087,"score_gpt":0.4055039388777364,"score_spread":0.3725164760948656,"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."}}