{"id":"W4401412045","doi":"10.1016/j.celrep.2024.114601","title":"Functional genomic analysis of genes important for Candida albicans fitness in diverse environmental conditions","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"National Human Genome Research Institute; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Genome Canada; Ontario Genomics; Canadian Institutes of Health Research; National Institutes of Health; University of Minnesota","keywords":"Candida albicans; Biology; Gene; Corpus albicans; Computational biology; Genetics; Virulence; Saccharomyces cerevisiae; Function (biology)","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":[0.0002039527,0.0005110163,0.0003172459,0.0008309385,0.0003073809,0.0002685507,0.0002462119,0.0002783678,0.001017231],"category_scores_gemma":[0.0002869082,0.0001136333,0.0005803754,0.0007878746,0.0002171683,0.0001197367,0.000254362,0.0004005145,0.0002641812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112609,"about_ca_system_score_gemma":0.0005287852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002743666,"about_ca_topic_score_gemma":0.003666844,"domain_scores_codex":[0.9998769,0.00001226557,0.00001075341,0.00003399567,0.0000404322,0.00002575587],"domain_scores_gemma":[0.9998523,0.00005371457,0.00002971047,0.00001489632,0.0000235938,0.00002576998],"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":[0.0001561291,0.00003133714,0.002210018,0.0000517769,0.00001321924,0.00008364106,0.00001859349,0.000503948,0.9932539,0.00007968719,0.00004972194,0.003547934],"study_design_scores_gemma":[0.00003864813,0.0006072894,0.1545899,0.00002061186,0.0001584277,0.0009534229,0.0002008006,0.009711975,0.8304698,0.0004454645,0.002761828,0.00004191816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878281,0.0004163997,0.004861427,0.00008572434,0.00000842065,0.00004190512,0.005784711,0.0001577303,0.0008154557],"genre_scores_gemma":[0.9771666,0.0003558899,0.01218132,0.00008490012,0.000005232303,0.00003828362,0.009429371,0.00005066104,0.000687647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002743666,"threshold_uncertainty_score":0.005455375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607900403222759,"score_gpt":0.2650743182713688,"score_spread":0.2489953142391413,"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."}}