{"id":"W3122713579","doi":"10.21769/bioprotoc.3610","title":"Correction Notice: Single-step Precision Genome Editing in Yeast Using CRISPR-Cas9","year":2020,"lang":"en","type":"erratum","venue":"BIO-PROTOCOL","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"CRISPR; Genome editing; Cas9; Yeast; Genetics; Computational biology; Computer science; Biology; Gene","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":[0.003826724,0.002481349,0.002477114,0.003012471,0.005649246,0.004775696,0.004813196,0.006427618,0.1386399],"category_scores_gemma":[0.02679762,0.001802218,0.00237848,0.003291193,0.002572896,0.002666989,0.003030178,0.01293635,0.08047689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003823929,"about_ca_system_score_gemma":0.00905621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01865865,"about_ca_topic_score_gemma":0.02628877,"domain_scores_codex":[0.9940487,0.000516853,0.0007141196,0.0005858446,0.003585097,0.0005493955],"domain_scores_gemma":[0.9751145,0.005041868,0.001208153,0.001715141,0.01509426,0.001826171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002976895,0.000008927763,0.00002798271,0.0001388365,0.00001025377,0.0001461692,0.00001657887,0.0000491864,0.0003817391,0.0009103896,0.9930283,0.005251794],"study_design_scores_gemma":[0.00003180583,0.0000196125,0.00030732,0.0001270037,0.00003062692,0.0004051899,0.00003519524,0.0001487665,0.001532036,0.001161309,0.9961506,0.00005065181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002097333,0.0008881181,0.003941485,0.0322456,0.9495873,0.00005377231,0.005406379,0.002554752,0.005112746],"genre_scores_gemma":[0.0160894,0.01348533,0.03407684,0.07693244,0.1800329,0.000646862,0.03531869,0.01572954,0.627688],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1386399,"threshold_uncertainty_score":0.4637966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225315308557125,"score_gpt":0.3363893798025869,"score_spread":0.3141362267170156,"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."}}