{"id":"W3049383037","doi":"10.1155/2020/2907623","title":"The Development and Application of a Base Editor in Biomedicine","year":2020,"lang":"en","type":"review","venue":"BioMed Research International","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; School of Medicine, New York University; York University","keywords":"CRISPR; Point mutation; Computational biology; Flexibility (engineering); Genome editing; Computer science; Biomedicine; Base (topology); Cas9; Mutation; Biology; Bioinformatics; Gene; Genetics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006919899,0.00009878573,0.000190054,0.0001949462,0.00003666704,0.00001510482,0.0003171789,0.0001093233,0.000002754886],"category_scores_gemma":[0.0002394762,0.00006739875,0.00004126266,0.0002241911,0.0001310448,9.534833e-7,0.0002384946,0.0001535508,0.000006069458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004119549,"about_ca_system_score_gemma":0.0002193527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007784311,"about_ca_topic_score_gemma":0.00002024103,"domain_scores_codex":[0.9989291,0.00005854002,0.0003137673,0.0002316421,0.0003209409,0.0001460358],"domain_scores_gemma":[0.9995496,0.00008065609,0.00005902454,0.0001467112,0.0001010508,0.00006294239],"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":[0.00001089723,0.00001866721,0.000007625257,0.0006776991,0.00006693228,0.000001475381,0.00002546644,3.091877e-7,0.001802579,0.00003454534,0.003691114,0.9936627],"study_design_scores_gemma":[0.0001216355,0.00003677205,0.00002127245,0.0003523165,0.000004782245,0.000003995589,0.00002475955,0.00006891971,0.0007279157,0.000004962443,0.9985713,0.00006132087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003685058,0.9968796,0.001580591,0.0002610099,0.000739269,0.0003506915,0.0000331875,0.000002580521,0.0001161572],"genre_scores_gemma":[0.0003560558,0.9963661,0.0005582172,0.000003374084,0.002027167,0.0001845246,0.000349323,0.00001420784,0.0001410335],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9948803,"threshold_uncertainty_score":0.2748441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04343680734732257,"score_gpt":0.4523424579262301,"score_spread":0.4089056505789075,"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."}}