{"id":"W4380871976","doi":"10.1016/j.crmeth.2023.100464","title":"Rapid, scalable, combinatorial genome engineering by marker-less enrichment and recombination of genetically engineered loci in yeast","year":2023,"lang":"en","type":"article","venue":"Cell Reports Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Institute of General Medical Sciences; Army Research Office; Natural Sciences and Engineering Research Council of Canada; Faculty of Arts and Sciences; National Institutes of Health; Canada Research Chairs; York University; Concordia University; Welch Foundation; Canada Foundation for Innovation; Fonds de recherche du Québec – Nature et technologies; Harvard University; University of Washington; Ministère de l'Économie, de l’Innovation et des Exportations du Québec; University of Toronto; New York University","keywords":"CRISPR; Genome editing; Biology; Genetics; Computational biology; Merge (version control); Cas9; Genome; Recombination; Homologous recombination; Genome engineering; Gene; Yeast; Locus (genetics); Computer science","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":[0.001198663,0.0001703526,0.0002369613,0.0001278592,0.00002028753,0.00001438802,0.00008237508,0.0001631395,0.00001100494],"category_scores_gemma":[0.0001785786,0.0001915398,0.00005565214,0.0002655207,0.00002588347,0.000003349194,0.0001259205,0.00009814002,6.142133e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002003393,"about_ca_system_score_gemma":0.0000304191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009210894,"about_ca_topic_score_gemma":5.184152e-7,"domain_scores_codex":[0.9987007,0.00006817072,0.0004398075,0.0003681658,0.0001340381,0.0002891342],"domain_scores_gemma":[0.9994236,0.00003554542,0.00008963297,0.0002997956,0.00005420846,0.00009716787],"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":[0.00001292637,0.00004513792,0.0006406193,0.0001131765,0.00002151231,0.00001673301,0.0000429006,0.003026473,0.9846718,0.00001641554,0.0002657191,0.01112664],"study_design_scores_gemma":[0.0007251699,0.0001552072,0.01810907,0.00002065937,0.0000249322,0.00003108597,0.0000595516,0.00512121,0.947885,0.0001136265,0.02742508,0.0003294053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255512,0.003557575,0.06927975,0.00002041612,0.0006889278,0.0002722551,0.000007325189,0.00003279164,0.000589713],"genre_scores_gemma":[0.9699734,0.001011381,0.02836687,0.000007299819,0.00007392969,0.0000356625,0.0001507516,0.00004049066,0.0003402196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04442216,"threshold_uncertainty_score":0.7810764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00884339042010853,"score_gpt":0.2915578569617895,"score_spread":0.282714466541681,"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."}}