{"id":"W4410379637","doi":"10.1101/2025.05.13.653461","title":"Targeted loss of heterozygosity in <i>Candida albicans</i> using CRISPR-Cas9","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Fonds de Recherche du Québec - Santé; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"CRISPR; Biology; Loss of heterozygosity; Genetics; Allele; Cas9; Candida albicans; Genome; Genome editing; Computational biology; Gene","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":[0.0003759731,0.0004466933,0.00034788,0.0003595474,0.0003191613,0.0007708531,0.0004981274,0.0004912754,0.00229113],"category_scores_gemma":[0.0004400018,0.0002535847,0.0003605821,0.0003098947,0.0003256568,0.0002269561,0.000480866,0.00111704,0.001281547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003380392,"about_ca_system_score_gemma":0.0004961014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184932,"about_ca_topic_score_gemma":0.002448037,"domain_scores_codex":[0.9995835,0.00004028988,0.00004332832,0.000105411,0.000181755,0.0000457096],"domain_scores_gemma":[0.9997856,0.00005142583,0.00006101054,0.00005259392,0.00002148803,0.00002795646],"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":[0.00005942391,0.00002461955,0.0005247346,0.00009046299,0.0000165764,0.0001878297,0.00002348355,0.0003125025,0.9869049,0.0007763629,0.001123512,0.009955481],"study_design_scores_gemma":[0.00001538125,0.00008307888,0.003273224,0.00001786677,0.00001840239,0.0009171411,0.00002525341,0.002507132,0.974135,0.0003273829,0.01865505,0.00002516511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7738677,0.002131659,0.1801637,0.000990386,0.0005899667,0.0003945988,0.008966112,0.01096908,0.0219268],"genre_scores_gemma":[0.8868824,0.001585,0.08531919,0.0004869496,0.00006469192,0.0002155129,0.008990883,0.002048237,0.01440719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00229113,"threshold_uncertainty_score":0.007664621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779193479643376,"score_gpt":0.2662634566512613,"score_spread":0.2484715218548275,"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."}}