{"id":"W2044253229","doi":"10.1371/journal.pntd.0002297","title":"Molecular Epidemiology Reveals Genetic Diversity amongst Isolates of the Cryptococcus neoformans/C. gattii Species Complex in Thailand","year":2013,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculty of Medicine Siriraj Hospital, Mahidol University; Faculty of Medicine, Chiang Mai University; Medical Research Council; Chulalongkorn University; National Science and Technology Development Agency; Mahidol University; Chiang Mai University; King Chulalongkorn Memorial Hospital","keywords":"Cryptococcus gattii; Cryptococcus neoformans; Cryptococcosis; Multilocus sequence typing; Biology; Molecular epidemiology; Veterinary medicine; Microbiology; Population; Genetic diversity; Cryptococcus; Virology; Genotype; Medicine; Genetics; Gene","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":[0.000359843,0.0002708242,0.0001869372,0.001534204,0.000324268,0.0006905628,0.000137202,0.0002793603,0.0006685214],"category_scores_gemma":[0.0009717696,0.0002392786,0.0001796477,0.001096411,0.000387522,0.0002772911,0.0003026155,0.0002610868,0.0001466609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247222,"about_ca_system_score_gemma":0.000292594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007107713,"about_ca_topic_score_gemma":0.004812097,"domain_scores_codex":[0.9995618,0.0001130435,0.00007110342,0.00008659639,0.00008232636,0.00008503467],"domain_scores_gemma":[0.9989059,0.0001901079,0.0004377966,0.00004023623,0.0001343513,0.0002916096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002741608,0.00004851253,0.9769718,0.00006422191,0.00003795711,0.001063997,0.0007860556,0.0001741863,0.01498842,0.00002283411,0.0000574607,0.00551047],"study_design_scores_gemma":[0.000009585732,0.0002939805,0.9917206,0.00002478485,0.00002795814,0.004642389,0.001381967,0.0004055541,0.00115653,0.00002283157,0.000302456,0.00001149266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995803,0.000119682,0.0000831757,0.00001085538,9.869317e-7,0.000006170659,0.00005931043,0.000002067393,0.0001374028],"genre_scores_gemma":[0.999446,0.0001641197,0.0001708312,0.00001091301,0.00000269563,0.000004680117,0.0001298401,0.000001229125,0.00006961609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007107713,"threshold_uncertainty_score":0.01413268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640284820056287,"score_gpt":0.2573354944598004,"score_spread":0.2209326462592375,"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."}}