{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000306779,0.000610636,0.0004308848,0.0003151036,0.0002329183,0.0004178348,0.0004969765,0.0004431842,0.001309824],"category_scores_gemma":[0.0002451536,0.0003121223,0.0004084521,0.0002313253,0.0003796939,0.0001848785,0.0007644453,0.0008694776,0.0006829954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002615651,"about_ca_system_score_gemma":0.000406098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008022276,"about_ca_topic_score_gemma":0.001761111,"domain_scores_codex":[0.9997057,0.00003732308,0.00004140304,0.00007034236,0.0001144676,0.00003069779],"domain_scores_gemma":[0.9998565,0.00002787378,0.00003407249,0.00004365412,0.00001217722,0.00002575677],"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":[0.00003566933,0.00001626767,0.0001330049,0.00004034617,0.000008108413,0.00008699146,0.00001545206,0.0001653212,0.9964514,0.0004384335,0.00009755448,0.002511533],"study_design_scores_gemma":[0.00001097563,0.00008000639,0.0007139264,0.000006038614,0.00001154465,0.000300639,0.0000132812,0.001053219,0.9933465,0.0001650987,0.004287505,0.0000113631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6635425,0.001591687,0.3214251,0.000278799,0.0002330317,0.0004973325,0.0026503,0.004248344,0.005532919],"genre_scores_gemma":[0.8569784,0.001210966,0.1347488,0.0001318237,0.00001050355,0.0001772295,0.001805776,0.0002599558,0.004676516],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001309824,"threshold_uncertainty_score":0.004381776,"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."}}