{"id":"W2344328354","doi":"10.1186/s13036-016-0028-1","title":"Seamless site-directed mutagenesis of the Saccharomyces cerevisiae genome using CRISPR-Cas9","year":2016,"lang":"en","type":"article","venue":"Journal of Biological Engineering","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Concordia University","keywords":"CRISPR; Genome editing; Saccharomyces cerevisiae; Computational biology; Genome; Cas9; Mutagenesis; Point mutation; Genetics; Gene; Biology; Genome engineering; Computer science; Mutation","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":[0.0002396121,0.0001578089,0.0002622277,0.00005933486,0.0000298981,0.00000900858,0.0002859466,0.0001422482,0.00002797416],"category_scores_gemma":[0.0002608089,0.00008123524,0.0002351937,0.0001335987,0.00004271372,0.000005314181,0.0001183405,0.00009262241,9.083008e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002275727,"about_ca_system_score_gemma":0.00003027581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002390314,"about_ca_topic_score_gemma":5.263205e-7,"domain_scores_codex":[0.9990658,0.00003668372,0.0004076679,0.0001455631,0.0001309322,0.0002133125],"domain_scores_gemma":[0.999361,0.00004370583,0.0001895338,0.0002038565,0.0001198282,0.0000820854],"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":[0.00002451212,0.00001726521,0.002507588,0.00002098733,0.00006346792,0.000003916633,0.00001437202,0.01064479,0.9857332,0.000007534143,0.00001613271,0.0009462454],"study_design_scores_gemma":[0.0005323958,0.0002457309,0.04947884,0.0001438027,0.00004680721,0.0001944377,0.00002407649,0.001000285,0.9435733,0.000008315986,0.004516429,0.0002356047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513203,0.002350528,0.0459049,0.00006442154,0.0002537962,0.00006663684,0.00001466488,0.0000105025,0.00001424189],"genre_scores_gemma":[0.9953952,0.0004268671,0.003857315,0.00001936041,0.0002596663,0.00000111531,0.000001111439,0.00001656918,0.00002275365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04697125,"threshold_uncertainty_score":0.3312677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490012369870024,"score_gpt":0.2707952647569026,"score_spread":0.2558951410582024,"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."}}