{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002601038,0.0001128605,0.0002516199,0.00001396494,0.000646112,0.000004880957,0.0001616809,0.00009948009,0.00004541149],"category_scores_gemma":[0.00004589911,0.00004321108,0.00038693,0.0003234538,0.00182284,0.00003888834,0.00004138986,0.0001509575,8.351244e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004662314,"about_ca_system_score_gemma":0.00003329421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003980393,"about_ca_topic_score_gemma":0.000004423044,"domain_scores_codex":[0.9990459,0.00009714984,0.0002780374,0.0002236597,0.0001921237,0.000163098],"domain_scores_gemma":[0.9994201,0.0002436411,0.0001170981,0.00009688565,0.00007311573,0.00004913405],"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":[0.0002648122,0.001181062,0.41958,0.0001289215,0.0005766301,4.540156e-7,0.001272779,0.001578875,0.5452472,0.01890168,0.0002488219,0.01101877],"study_design_scores_gemma":[0.0004968607,0.0004427273,0.9789833,0.0001029567,0.0001080655,0.0000116609,0.0002273101,0.0008180823,0.003727078,0.0147749,0.0001861689,0.0001209127],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861197,0.0006488047,0.001108123,0.01122335,0.0001014242,0.000331545,0.00005525527,0.00001679836,0.0003949704],"genre_scores_gemma":[0.9989282,0.0001907032,0.0006189033,0.0001448239,0.00005876917,0.00001484,3.965743e-7,0.000002162924,0.00004120836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5594033,"threshold_uncertainty_score":0.6716331,"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."}}