{"id":"W2526145483","doi":"10.1098/rstb.2016.0021","title":"Microevolutionary traits and comparative population genomics of the emerging pathogenic fungus <i>Cryptococcus gattii</i>","year":2016,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; European Research Council; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Broad Institute; European Commission; National Institute for Health and Care Research; Wellcome Trust; Medical Research Council; Wellcome","keywords":"Cryptococcus gattii; Biology; Virulence; Cryptococcus; Lineage (genetic); Enzootic; Population; Cryptococcosis; Evolutionary biology; Genetics; Gene; Microbiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003887187,0.0001704092,0.0001594842,0.0006275378,0.0003566211,0.0004275799,0.0002495611,0.0003002363,0.0006778942],"category_scores_gemma":[0.0005356102,0.000101658,0.0002006913,0.0006119865,0.0003235133,0.0001478667,0.0003706082,0.0004388069,0.00009700785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006350109,"about_ca_system_score_gemma":0.0002421026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024833,"about_ca_topic_score_gemma":0.01443737,"domain_scores_codex":[0.9998068,0.00003412602,0.000009205851,0.00007597341,0.00003409114,0.00003989644],"domain_scores_gemma":[0.9997991,0.00006418068,0.00006282039,0.00001627218,0.00002760908,0.00003006295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004184144,0.00009533936,0.2381835,0.0001180032,0.0001782489,0.0004583116,0.001691795,0.003330535,0.7016302,0.001504973,0.0003489452,0.05204169],"study_design_scores_gemma":[0.000006650552,0.00012357,0.9861174,0.00001452424,0.00003538121,0.0005892442,0.0005469855,0.003349226,0.006900661,0.0003491658,0.001946256,0.00002095744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979195,0.0001468278,0.001050342,0.00003607447,0.00000283102,0.000006103378,0.0001614698,0.000009564729,0.0006672149],"genre_scores_gemma":[0.9975739,0.0001803041,0.001626031,0.00003665363,0.000003332671,0.00000677993,0.0002673669,0.00001087919,0.0002946864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024833,"threshold_uncertainty_score":0.02037734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07150398079696896,"score_gpt":0.2909341307867483,"score_spread":0.2194301499897793,"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."}}