{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003810233,0.0003882393,0.0002481093,0.00008205947,0.0009362893,0.0001565719,0.0005390735,0.0001624804,0.000109579],"category_scores_gemma":[0.00001685665,0.000357237,0.0001372362,0.0002487552,0.0001364836,0.000006938304,0.001019358,0.0002100801,0.000009592036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005360804,"about_ca_system_score_gemma":0.000114269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001573428,"about_ca_topic_score_gemma":0.00003121774,"domain_scores_codex":[0.9976339,0.0001720105,0.0004574086,0.0007009545,0.0004245948,0.0006111483],"domain_scores_gemma":[0.9986438,0.00003674506,0.0001465152,0.0008639471,0.0001177939,0.0001911585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002498007,0.000108981,0.008063342,0.0001110809,0.0001788043,0.00001541283,0.0006608667,0.03969868,0.3453805,0.0001323456,0.009088796,0.5963115],"study_design_scores_gemma":[0.0006982606,0.0002762058,0.002140719,0.00001334582,0.00006618708,0.0001089299,0.001325955,0.00665939,0.06276183,0.00008505916,0.9252794,0.0005846667],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3056855,0.6508432,0.03987423,0.0003379711,0.001117076,0.0008776572,0.0002379383,0.00007093383,0.0009555552],"genre_scores_gemma":[0.9004485,0.09443628,0.001226471,0.0004544621,0.0006617468,0.0001871594,0.0002632849,0.0001221381,0.00219996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9161907,"threshold_uncertainty_score":0.9998879,"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."}}