{"id":"W4283021992","doi":"10.1093/g3journal/jkac154","title":"The MyLO CRISPR-Cas9 toolkit: a markerless yeast localization and overexpression CRISPR-Cas9 toolkit","year":2022,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Concordia University; University of Texas at Austin","keywords":"CRISPR; Cas9; Biology; Genome editing; Computational biology; Plasmid; Trans-activating crRNA; Guide RNA; Gene; Genetics; Green fluorescent protein; Selectable marker","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":[0.0006458163,0.0008826972,0.0008836068,0.0009897975,0.000454819,0.0009340814,0.001507074,0.0005975318,0.003366492],"category_scores_gemma":[0.0005284454,0.0008419566,0.0006810623,0.0006278657,0.0004392978,0.0005848533,0.001582884,0.001741939,0.005845098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004628905,"about_ca_system_score_gemma":0.0009190561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009743093,"about_ca_topic_score_gemma":0.001708445,"domain_scores_codex":[0.9992468,0.00007090614,0.00008537397,0.0001929014,0.000314098,0.00008990008],"domain_scores_gemma":[0.9996943,0.0000316691,0.00007158978,0.00007151213,0.00004621346,0.00008458998],"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":[0.0002294674,0.00004745975,0.0004561381,0.0004691553,0.00003997701,0.0002118175,0.00009251096,0.0009693508,0.9632757,0.002340647,0.00577182,0.02609613],"study_design_scores_gemma":[0.00007996738,0.0002958652,0.002269691,0.00008571299,0.00006966436,0.001321571,0.00004066495,0.007303629,0.8183582,0.0008155716,0.1692526,0.0001067745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1117747,0.00268964,0.8258743,0.000388309,0.0002702971,0.001193096,0.01413312,0.03498171,0.008694674],"genre_scores_gemma":[0.2258133,0.004640916,0.7006908,0.0003743959,0.00007279571,0.002126595,0.0372643,0.004411516,0.02460537],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003366492,"threshold_uncertainty_score":0.01126206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007227180478132296,"score_gpt":0.2660567411683282,"score_spread":0.2588295606901959,"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."}}