{"id":"W2911838180","doi":"10.1128/msphere.00002-19","title":"A CRISPR Interference Platform for Efficient Genetic Repression in <i>Candida albicans</i>","year":2019,"lang":"en","type":"article","venue":"mSphere","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Banting Research Foundation; University of Guelph","keywords":"CRISPR; CRISPR interference; Biology; Candida albicans; Cas9; Psychological repression; Virulence; Gene; RNA interference; Repressor; Genetics; Pathogen; Genetic screen; Trans-activating crRNA; Corpus albicans; Fungal pathogen; Human pathogen; Computational biology; RNA; Gene expression; Mutant","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":[0.00007032904,0.000123137,0.0001219845,0.00002003312,0.00001987478,0.00001461424,0.0001511504,0.000100021,0.00009824175],"category_scores_gemma":[0.00002549292,0.0001143362,0.00006068007,0.00005826543,0.00001404815,0.000001334425,0.00007799251,0.00006481242,0.00001675805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001440445,"about_ca_system_score_gemma":0.00002898787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003032912,"about_ca_topic_score_gemma":0.00009001584,"domain_scores_codex":[0.9991948,0.000007709819,0.000170389,0.0003242134,0.00006720921,0.000235674],"domain_scores_gemma":[0.9995577,0.00001245104,0.00003109165,0.0003217061,0.00002637743,0.0000506926],"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":[0.0002151901,0.00008310872,0.01431833,0.0001237721,0.00002343972,0.000003391023,0.0002383997,0.04696622,0.9189824,0.00004059544,0.002204065,0.01680104],"study_design_scores_gemma":[0.00380316,0.001050587,0.03477764,0.0002880569,0.00002723075,0.00003103164,0.000597785,0.02847486,0.8347214,0.0001430054,0.09521496,0.0008702617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96594,0.0009893095,0.03060491,0.00002876849,0.0002293724,0.0003651335,0.000009812978,0.00001127279,0.001821397],"genre_scores_gemma":[0.9969133,0.00004233986,0.001682139,0.00008960486,0.00007353865,0.0000526332,0.00002367565,0.00002108281,0.001101649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09301089,"threshold_uncertainty_score":0.4662494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00633170988995219,"score_gpt":0.2769470367006662,"score_spread":0.270615326810714,"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."}}