{"id":"W2888407023","doi":"10.1371/journal.pone.0202868","title":"Efficient genome editing using tRNA promoter-driven CRISPR/Cas9 gRNA in Aspergillus niger","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CRISPR; Genome editing; Guide RNA; Biology; Cas9; Plasmid; Genetics; Gene; RNA polymerase III; Genome; Transfer RNA; Computational biology; RNA","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001316421,0.0001558087,0.0001736846,0.00007455155,0.00006902069,0.00002150583,0.0001473795,0.0001160418,0.00004340658],"category_scores_gemma":[0.00006662081,0.0001648935,0.00004987036,0.0001169527,0.00005614732,0.0000017565,0.0001243525,0.0001074905,0.00002150009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000342903,"about_ca_system_score_gemma":0.00002928667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001984955,"about_ca_topic_score_gemma":0.00003210632,"domain_scores_codex":[0.9988853,0.00002576221,0.0002218862,0.0003389643,0.0001742382,0.0003537987],"domain_scores_gemma":[0.9994917,0.000005113505,0.00004788107,0.0002888998,0.00008443362,0.0000819718],"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":[0.00001506994,0.0002556898,0.001678834,0.00004064262,0.0000548136,0.000007485127,0.0002104197,0.002857302,0.9946831,0.000002679718,0.00001096448,0.0001830091],"study_design_scores_gemma":[0.000552536,0.0002853886,0.004886675,0.0001190145,0.00004447408,0.00001112999,0.00007751411,0.03847552,0.9548011,0.000006749816,0.0004315946,0.0003083055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993635,0.0003827105,0.004967655,0.00005675221,0.0001194926,0.0002148675,0.000009150521,0.000019479,0.0005949029],"genre_scores_gemma":[0.9922494,0.00001937731,0.006276013,0.00006692497,0.001196707,0.00001140655,0.00001921525,0.00003558318,0.0001253175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03988199,"threshold_uncertainty_score":0.6724162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547918081926758,"score_gpt":0.2759975680860567,"score_spread":0.2505183872667891,"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."}}