{"id":"W3161425918","doi":"10.1038/s41586-021-03534-y","title":"In vivo CRISPR base editing of PCSK9 durably lowers cholesterol in primates","year":2021,"lang":"en","type":"article","venue":"Nature","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":768,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acuitas Therapeutics (Canada)","funders":"","keywords":"CRISPR; PCSK9; Gene knockdown; Genome editing; In vivo; Biology; Genetic enhancement; Cholesterol; Gene; Cancer research; Computational biology; Bioinformatics; Genetics; LDL receptor; Lipoprotein; Endocrinology","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":[0.0003891106,0.0004851389,0.0004325914,0.0005946296,0.0007653845,0.0009265287,0.0006130896,0.001121184,0.005509632],"category_scores_gemma":[0.0004749426,0.0003959032,0.0004074904,0.0002290319,0.00115865,0.0002931022,0.000550955,0.001583867,0.001258514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005740334,"about_ca_system_score_gemma":0.0004308007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002422966,"about_ca_topic_score_gemma":0.002562234,"domain_scores_codex":[0.9996692,0.0000491857,0.0000196109,0.0001125324,0.00009681578,0.00005269659],"domain_scores_gemma":[0.9996941,0.000073816,0.00006493677,0.00009139128,0.00002179414,0.00005392203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003453521,0.00003322869,0.0004035618,0.00007630368,0.00003745142,0.0007897657,0.0001124041,0.0003546519,0.9832456,0.003714821,0.0008193349,0.0100675],"study_design_scores_gemma":[0.00006560142,0.0002805516,0.002371609,0.00002676564,0.0001034837,0.002360872,0.00008433622,0.001269603,0.9510008,0.002455716,0.03994836,0.00003219221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976772,0.003608718,0.04989251,0.002306637,0.0007075715,0.0002080822,0.004442241,0.004354651,0.03680232],"genre_scores_gemma":[0.9636932,0.001481537,0.0115052,0.0004246818,0.00008307299,0.0001144753,0.001060057,0.0006063661,0.02103138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005509632,"threshold_uncertainty_score":0.0184316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00310465395454611,"score_gpt":0.2779303889459633,"score_spread":0.2748257349914172,"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."}}