{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003344829,0.00006895643,0.0001736102,0.00004220171,0.000348942,0.00001504222,0.00003694251,0.00002467499,0.0002795691],"category_scores_gemma":[0.0002196384,0.00006399374,0.0001068065,0.0001543323,0.00001192439,0.00002418489,0.000124632,0.0001630477,0.0001119479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539177,"about_ca_system_score_gemma":0.00002368174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002018655,"about_ca_topic_score_gemma":0.00002769609,"domain_scores_codex":[0.9991748,0.00005512263,0.0003056884,0.0001912344,0.0001322299,0.0001409161],"domain_scores_gemma":[0.9995471,0.00004513303,0.00005044385,0.0001921411,0.00003748119,0.0001276673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002031165,0.0001864669,0.994799,0.00001284119,0.00003129893,0.00001079746,0.000290849,0.0001627165,0.0003309896,0.0001571205,0.001633511,0.002181321],"study_design_scores_gemma":[0.0006344779,0.0002438885,0.9791912,0.000003627823,0.00004439522,0.000002407363,0.00006761098,0.0005086808,7.277101e-7,0.0001248721,0.01910814,0.00006989682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951498,0.00004661245,0.000354103,0.002811053,0.0008262713,0.0004963088,0.00004867933,0.0000710807,0.0001960763],"genre_scores_gemma":[0.9960862,0.000003682443,0.0003488594,0.001440401,0.0002836906,0.0001497847,0.00005831879,0.00001097386,0.00161803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01747463,"threshold_uncertainty_score":0.3061085,"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."}}