{"id":"W4200176605","doi":"10.1099/acmi.cc2021.po0194","title":"Conducting genetic interaction analysis with CRISPR-Cas9-based strategies in Candida albicans","year":2021,"lang":"en","type":"article","venue":"Access Microbiology","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Candida albicans; CRISPR; Biology; Corpus albicans; Gene; Epistasis; Antifungal drug; Genetic screen; Cas9; Fungal pathogen; Genetics; Genetic analysis; Pathogen; Virulence; Computational biology; Mutant","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":[0.0008514638,0.000537565,0.0006199784,0.0008047256,0.0004657944,0.0008745614,0.000873743,0.0007052604,0.001632257],"category_scores_gemma":[0.0006785218,0.0003874573,0.0007806233,0.0004277138,0.0003734868,0.0003496944,0.0007934622,0.001274933,0.0005264475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006065334,"about_ca_system_score_gemma":0.000564507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161222,"about_ca_topic_score_gemma":0.002364254,"domain_scores_codex":[0.9991467,0.0001232283,0.0001335124,0.0001676978,0.0003271604,0.0001016783],"domain_scores_gemma":[0.9995988,0.0001214189,0.00009617824,0.00006390492,0.00006686227,0.00005289644],"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":[0.0000787208,0.00008149884,0.0003564555,0.00009583084,0.00002258878,0.0001481816,0.00004151089,0.0005700382,0.9941863,0.0004296812,0.0001461707,0.003842985],"study_design_scores_gemma":[0.00002629136,0.0002626779,0.0029164,0.00001803227,0.00005810906,0.0004578322,0.00007168172,0.009583118,0.9812646,0.0002499834,0.00504848,0.00004278462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8041052,0.001525726,0.1802479,0.0004601548,0.0002371561,0.001091264,0.003038983,0.00186768,0.007425969],"genre_scores_gemma":[0.8418025,0.001367068,0.148334,0.0002593468,0.00001592447,0.0005609431,0.002337319,0.0003037113,0.005019027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001632257,"threshold_uncertainty_score":0.005460382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535697631270393,"score_gpt":0.3606845560665887,"score_spread":0.3053275797538848,"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."}}