{"id":"W3192875574","doi":"10.3389/fpls.2021.719148","title":"Multiplex Genome Editing in Yeast by CRISPR/Cas9 – A Potent and Agile Tool to Reconstruct Complex Metabolic Pathways","year":2021,"lang":"en","type":"review","venue":"Frontiers in Plant Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Trade, Industry and Energy","keywords":"CRISPR; Genome editing; Biology; Computational biology; Cas9; Yeast; Genome; Metabolic pathway; Genetic screen; Functional genomics; Gene; Saccharomyces cerevisiae; Genetics; Genomics; Mutant","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005875861,0.0008474834,0.0008423249,0.001358292,0.000297565,0.001329421,0.0006613914,0.0007927691,0.001007356],"category_scores_gemma":[0.0005030126,0.0005774188,0.0008475645,0.0006924002,0.0004315871,0.0008626974,0.0007648573,0.001715015,0.001010035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004298018,"about_ca_system_score_gemma":0.0003880772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007773553,"about_ca_topic_score_gemma":0.001094925,"domain_scores_codex":[0.9994408,0.00005464733,0.00007501215,0.0001262226,0.0002512529,0.00005189007],"domain_scores_gemma":[0.9997849,0.00005734692,0.00005728652,0.0000231396,0.00004538332,0.00003186061],"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":[0.0001004446,0.00007842202,0.0004893679,0.002821606,0.0001338881,0.0007579992,0.000149274,0.00221202,0.7976358,0.006960609,0.008298161,0.1803625],"study_design_scores_gemma":[0.00004140698,0.0003343141,0.001216027,0.0002654803,0.0001732488,0.00344139,0.00007994216,0.00692124,0.5937027,0.001975891,0.3916681,0.000180203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.06163592,0.4038188,0.4977226,0.002471691,0.002051225,0.0006144673,0.002738547,0.008071423,0.02087534],"genre_scores_gemma":[0.2296012,0.4361421,0.313181,0.001384794,0.0005697129,0.000558958,0.004594162,0.0007145821,0.01325349],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001358292,"threshold_uncertainty_score":0.003369927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087220672775831,"score_gpt":0.2951406179603775,"score_spread":0.2742684112326192,"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."}}