{"id":"W2794379535","doi":"10.21769/bioprotoc.2765","title":"Single-step Precision Genome Editing in Yeast Using CRISPR-Cas9","year":2018,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences","keywords":"Genome editing; CRISPR; Selectable marker; Cas9; Biology; Genetics; Homology directed repair; Homologous recombination; Locus (genetics); Genome; Computational biology; Gene; DNA; DNA repair; Transformation (genetics); Nucleotide excision repair","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":[0.0005252225,0.0005302772,0.0005086474,0.0003693137,0.0004517441,0.0005645991,0.0008418675,0.0005044622,0.001648719],"category_scores_gemma":[0.0003315361,0.0004215399,0.000487988,0.0002892836,0.0004529821,0.000278624,0.0007936849,0.001150267,0.001718305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015517,"about_ca_system_score_gemma":0.0004869094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008347362,"about_ca_topic_score_gemma":0.001684071,"domain_scores_codex":[0.999524,0.00004890505,0.00007079227,0.0001306834,0.0001751994,0.00005053943],"domain_scores_gemma":[0.9997693,0.00004722701,0.00004564974,0.00007365194,0.00003249625,0.00003163833],"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":[0.00008656591,0.00002891708,0.0001579008,0.0002046007,0.00001256095,0.0001730296,0.00004219191,0.0004488854,0.9843165,0.001312978,0.0007339537,0.01248191],"study_design_scores_gemma":[0.00001425367,0.00008801265,0.0004673047,0.00001547934,0.00001258996,0.0004199864,0.00002000091,0.001558257,0.9799337,0.0003345042,0.01711692,0.00001892673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2729917,0.003752304,0.6955886,0.0005128317,0.0005269221,0.001607149,0.005206375,0.007927262,0.01188677],"genre_scores_gemma":[0.6015666,0.003529905,0.3670278,0.0002483847,0.00003240989,0.001123956,0.006545118,0.0008253742,0.01910049],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001648719,"threshold_uncertainty_score":0.005515516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518560121350588,"score_gpt":0.3547524386194919,"score_spread":0.329566837405986,"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."}}