{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003136652,0.0005326175,0.0003160073,0.0003437683,0.0003897434,0.0005705943,0.0006943316,0.0005230284,0.002288988],"category_scores_gemma":[0.0002185309,0.000295853,0.0003824366,0.0002648912,0.0003095486,0.0002260099,0.0005182743,0.001103743,0.001132568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005127841,"about_ca_system_score_gemma":0.0005932548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208133,"about_ca_topic_score_gemma":0.001707773,"domain_scores_codex":[0.9996,0.00003892407,0.00004368753,0.0001022084,0.0001670211,0.00004813425],"domain_scores_gemma":[0.9998595,0.00002462423,0.00004364385,0.00002846592,0.00001971929,0.00002413004],"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":[0.000026362,0.00001457116,0.00004533558,0.00003112091,0.000004079121,0.00004790566,0.00001238481,0.0001748357,0.9954754,0.0005592458,0.000315791,0.003293106],"study_design_scores_gemma":[0.000006342444,0.00004844648,0.0003140229,0.000004329348,0.000006698912,0.0001728551,0.000005162856,0.001342639,0.9896514,0.00006781558,0.008369428,0.00001068494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.529097,0.003060453,0.4156978,0.001351761,0.0006055932,0.0007909664,0.006183464,0.01061892,0.03259407],"genre_scores_gemma":[0.764168,0.001799923,0.2034502,0.0004493461,0.00004467885,0.000496743,0.004928994,0.0008736605,0.02378854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002288988,"threshold_uncertainty_score":0.007657468,"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."}}