{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002182351,0.0005123931,0.0004302537,0.0001759284,0.0001004564,0.000101852,0.0003590077,0.001010843,0.00007619322],"category_scores_gemma":[0.0002986818,0.0005508221,0.0001973748,0.0002817831,0.0000483252,0.000007315793,0.0003280474,0.00074919,0.00003088348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001429167,"about_ca_system_score_gemma":0.0002125406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006037592,"about_ca_topic_score_gemma":0.0001013185,"domain_scores_codex":[0.9975522,0.00008638913,0.0006327669,0.0008905248,0.000333438,0.000504678],"domain_scores_gemma":[0.998901,0.00001293121,0.0002823226,0.0005210308,0.0001210761,0.0001616156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002968172,0.000176361,0.0001561101,0.0009235046,0.00006604908,0.0000484148,0.00009365833,0.002438568,0.5230007,0.000001061014,0.463392,0.009406761],"study_design_scores_gemma":[0.0009497515,0.0004086322,0.0003787541,0.0004371708,0.00003168578,0.00003279794,0.0000801318,0.008406787,0.03743264,0.000002395348,0.9512215,0.0006177454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0005284729,0.0003243338,0.07398321,0.0001465693,0.04821007,0.8499219,0.0001706004,0.000217908,0.02649691],"genre_scores_gemma":[0.00449428,0.00002345817,0.00751147,0.0003708386,0.03587681,0.9159973,0.001566886,0.0005731988,0.03358582],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.4878296,"threshold_uncertainty_score":0.9996943,"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."}}