{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001960171,0.00008644395,0.0002743501,0.0001970403,0.00003706965,0.000006267711,0.00001906114,0.00005222477,0.001555362],"category_scores_gemma":[0.00001886212,0.00007617351,0.0002543803,0.0002240326,0.00008962688,0.000037588,0.00001554296,0.00006224686,0.000003154473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427118,"about_ca_system_score_gemma":0.0001604363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001508701,"about_ca_topic_score_gemma":0.0004854185,"domain_scores_codex":[0.9989623,0.000008859708,0.0004367701,0.0002986152,0.0001606325,0.0001328231],"domain_scores_gemma":[0.9995384,0.00006003144,0.00009135007,0.0002271555,0.00001656806,0.00006650023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005949861,0.0001342178,0.8870008,0.0001153807,0.0002894889,0.0006331534,0.0001185949,0.0001695873,0.1106247,0.00002800361,0.0006309831,0.0001956062],"study_design_scores_gemma":[0.0001963238,0.00005114143,0.9897211,0.00002329142,0.001200597,0.00002802336,0.0003899729,0.0008972885,0.005062881,0.0001205894,0.00222502,0.00008383821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970583,0.001410432,0.0002645796,0.00003427671,0.0001728526,0.0002602453,0.0002144675,0.00001369624,0.0005711333],"genre_scores_gemma":[0.9960935,0.0001279198,0.00005593126,0.00002713819,0.000038909,0.00002855437,0.0007507566,0.000009292608,0.002868064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055618,"threshold_uncertainty_score":0.9993573,"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."}}