{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006457997,0.0007004667,0.0006409675,0.0005022599,0.0003142896,0.001003997,0.0007587319,0.0004123321,0.0006347598],"category_scores_gemma":[0.0004725367,0.0004347803,0.0005626734,0.0004144876,0.0004860462,0.0004464641,0.001099229,0.001412977,0.0006132004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239878,"about_ca_system_score_gemma":0.0004483293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004915513,"about_ca_topic_score_gemma":0.0009397868,"domain_scores_codex":[0.9993302,0.00007271528,0.00007660141,0.0001551064,0.0002924064,0.00007297823],"domain_scores_gemma":[0.9996723,0.00006255609,0.00008287304,0.0000933039,0.00003120688,0.00005781665],"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":[0.00004722684,0.00003150997,0.0001680952,0.00006074239,0.00001563164,0.00006103522,0.00002104473,0.001036332,0.9917556,0.0007812814,0.0001019407,0.00591962],"study_design_scores_gemma":[0.00001298386,0.00008566921,0.0003471668,0.000006863501,0.00001206833,0.0002142401,0.00001849318,0.003300789,0.9913089,0.0003283291,0.004350399,0.00001405174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3777528,0.002036748,0.6112562,0.0003739754,0.0001310084,0.0003919225,0.001344985,0.003856339,0.002856004],"genre_scores_gemma":[0.6578566,0.002373088,0.3335038,0.0001231347,0.00002507482,0.0003227548,0.001993011,0.0005925391,0.003209915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001003997,"threshold_uncertainty_score":0.003415346,"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."}}