{"id":"W4406236145","doi":"10.1101/2025.01.09.632232","title":"A comparative evaluation of CRISPR-Cas9 allele editing systems in <i>Candida auris</i> : challenging research in a challenging bug","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"National Institute of Dental and Craniofacial Research; National Institute of General Medical Sciences; National Institutes of Health; Vlaamse regering; Joint Programming Initiative on Antimicrobial Resistance; KU Leuven; Fonds Wetenschappelijk Onderzoek","keywords":"CRISPR; Candida auris; Genome editing; Biology; Allele; Genetics; Computational biology; Antifungal; Microbiology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007373688,0.000477076,0.00047386,0.0004580587,0.0003512264,0.0009654394,0.000553137,0.0004932739,0.0006248733],"category_scores_gemma":[0.000661862,0.0001529392,0.0004320578,0.0003611445,0.0002286196,0.000309978,0.0004196407,0.0005551412,0.0002526977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000409678,"about_ca_system_score_gemma":0.0002889803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712854,"about_ca_topic_score_gemma":0.00166566,"domain_scores_codex":[0.9991915,0.0001498431,0.0001177922,0.0001647556,0.0002844561,0.00009170213],"domain_scores_gemma":[0.9995516,0.000104217,0.00008957562,0.00006867104,0.0001056566,0.00008022573],"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":[0.0001374604,0.00008033025,0.0004912272,0.0001850813,0.00002557173,0.00007666877,0.00002737064,0.0003466607,0.9932755,0.00008614448,0.0001086443,0.005159398],"study_design_scores_gemma":[0.00001322443,0.001458261,0.00517895,0.00002183149,0.00008055831,0.0003161047,0.00006773826,0.002033747,0.9861557,0.00004451522,0.004597268,0.00003226334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876304,0.002817816,0.006858956,0.0001253409,0.00005577466,0.0001503429,0.0005596658,0.0002964297,0.001505201],"genre_scores_gemma":[0.9801805,0.001878399,0.01379383,0.00007604515,0.00001233934,0.0001037234,0.001632457,0.0001175572,0.002205122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001712854,"threshold_uncertainty_score":0.003899634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155324144152844,"score_gpt":0.3598425800863589,"score_spread":0.3082893386448304,"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."}}