{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004975764,0.0004409385,0.001220791,0.0001150131,0.00003282714,0.000009105647,0.0003440021,0.0004268435,0.00002620821],"category_scores_gemma":[0.0003114975,0.000325387,0.000108894,0.0005190336,0.0001466095,0.00000192165,0.00009124449,0.0005770209,0.00001426608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002954006,"about_ca_system_score_gemma":0.0003984072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001804115,"about_ca_topic_score_gemma":0.00001057219,"domain_scores_codex":[0.9980137,0.0001293831,0.0007322102,0.0006192967,0.0002016179,0.0003038098],"domain_scores_gemma":[0.99885,0.00008660794,0.0002461777,0.0005553709,0.000104928,0.0001569351],"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":[0.00003684651,0.0000652456,0.0001175142,0.007094605,0.0004069846,0.0002149451,0.0001264574,0.00004135892,0.0003464034,0.00005764035,0.003371478,0.9881205],"study_design_scores_gemma":[0.0005034705,0.0004485017,0.000006252328,0.003018097,0.0003018966,0.00002135571,0.00005747209,0.00001104542,0.000127402,0.00000524165,0.9951746,0.0003246036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002910779,0.9962671,0.002135526,0.00009128325,0.0007528559,0.0003796448,0.00004193524,0.00002403062,0.0002785404],"genre_scores_gemma":[0.0001919231,0.9951317,0.0004699825,0.0004642791,0.003267438,0.00006423646,0.0002549641,0.0001098551,0.0000455773],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9918032,"threshold_uncertainty_score":0.9999198,"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."}}