{"id":"W3009277717","doi":"10.1101/360347","title":"<i>Candida albicans</i> genetic background influences mean and heterogeneity of drug responses and genome stability during evolution to fluconazole","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; Azrieli Foundation; University of Minnesota","keywords":"Biology; Genetic Fitness; Candida albicans; Drug resistance; Genetic diversity; Clade; Genetics; Antifungal drug; Strain (injury); Population; Evolutionary biology; Genome; Corpus albicans; Fluconazole; Drug; Phylogenetics; Gene; Antifungal; Microbiology; Medicine","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":[0.000385554,0.0002318256,0.0002306059,0.000366653,0.0002424299,0.000569391,0.0002702611,0.0003004069,0.0008449403],"category_scores_gemma":[0.0009130077,0.0001335985,0.0001747708,0.000258858,0.0002678822,0.0002116913,0.0004276746,0.0004045173,0.0000988559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987856,"about_ca_system_score_gemma":0.0001845708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074039,"about_ca_topic_score_gemma":0.001986075,"domain_scores_codex":[0.9996878,0.00009539749,0.00002238549,0.00007416171,0.00007107306,0.00004918249],"domain_scores_gemma":[0.9994623,0.0001950893,0.0001219906,0.00006001141,0.00008761646,0.00007307397],"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":[0.000355386,0.00005507642,0.02753444,0.00003735641,0.00005596978,0.00009741997,0.00008019718,0.001236193,0.9645412,0.0001546185,0.00007487892,0.005777114],"study_design_scores_gemma":[0.00002297312,0.001229426,0.7987635,0.00002528138,0.0001068881,0.001047984,0.0003804173,0.01406875,0.1818571,0.0002760951,0.002147138,0.00007443334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998852,0.0001012011,0.0003898776,0.00001895469,0.000002139624,0.000005728666,0.0001658071,0.00001075189,0.000453451],"genre_scores_gemma":[0.9990796,0.0000439749,0.0004411152,0.00002049109,0.000002255085,0.000007129752,0.000245412,0.00001178094,0.0001482813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001074039,"threshold_uncertainty_score":0.002893388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009733070715970415,"score_gpt":0.2281378971763818,"score_spread":0.2184048264604114,"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."}}