{"id":"W4308680005","doi":"10.1128/mbio.02626-22","title":"Genomic Variation across a Clinical Cryptococcus Population Linked to Disease Outcome","year":2022,"lang":"en","type":"article","venue":"mBio","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"U.S. Public Health Service; National Institute for Health and Care Research; Department of Health and Social Care; National Institute of Allergy and Infectious Diseases; Broad Institute; Medical Research Council; Canadian Institute for Advanced Research; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Cryptococcus neoformans; Cryptococcosis; Biology; Immune system; Cryptococcus; Disease; Pathogen; Population; Host (biology); Fungal pathogen; Genetic variation; Genetics; Immunology; Medicine; 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":[0.0005056083,0.0002459314,0.0002397214,0.0007855084,0.0003647842,0.0005298723,0.0002057254,0.0003412558,0.001950184],"category_scores_gemma":[0.001322313,0.0001091456,0.0002636683,0.0007507192,0.0003901772,0.0001159744,0.0003252612,0.0004384861,0.0001722822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625356,"about_ca_system_score_gemma":0.0001708782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002110607,"about_ca_topic_score_gemma":0.001982328,"domain_scores_codex":[0.9993999,0.0001633774,0.0000418372,0.0002233675,0.00009791446,0.0000736135],"domain_scores_gemma":[0.9992678,0.0002171787,0.0002203175,0.0001368699,0.00005171905,0.0001061583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001084773,0.0002040789,0.887781,0.00002506299,0.000350273,0.0007329206,0.0002847289,0.0004134585,0.1026812,0.0005172301,0.0002089492,0.005716441],"study_design_scores_gemma":[0.00001652527,0.0003128113,0.9945605,0.000003942308,0.00006287526,0.001328168,0.0001307091,0.000467299,0.00242811,0.0001446241,0.0005381929,0.000006261195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986524,0.00006578235,0.0005430184,0.00003749581,0.000002784471,0.000006751791,0.0003036325,0.000006963101,0.0003811435],"genre_scores_gemma":[0.9992836,0.00002856836,0.0002352679,0.00002109354,0.000003174132,0.000006337307,0.0002808826,0.000004208661,0.0001368863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002110607,"threshold_uncertainty_score":0.006523967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07563460316496096,"score_gpt":0.4139406835150717,"score_spread":0.3383060803501107,"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."}}