{"id":"W4221122114","doi":"10.1371/journal.pntd.0010078","title":"Molecular epidemiology and microbiological characteristics of Cryptococcus gattii VGII isolates from China","year":2022,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Natural Science Foundation of Beijing Municipality","keywords":"Cryptococcus gattii; Virulence; Multilocus sequence typing; Biology; Cryptococcosis; Outbreak; Microbiology; Typing; Phylogenetic tree; Molecular epidemiology; Cryptococcus neoformans; Virology; Genotype; 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":[0.000309238,0.0004391573,0.0002831878,0.001574011,0.0005123836,0.0003971444,0.0002165079,0.0002902001,0.000397186],"category_scores_gemma":[0.0005188477,0.0001812243,0.0002696117,0.001638899,0.0003592294,0.0001915715,0.0002919412,0.0001668753,0.00005896304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005134193,"about_ca_system_score_gemma":0.0007707051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03096369,"about_ca_topic_score_gemma":0.02399457,"domain_scores_codex":[0.9996279,0.00003298372,0.00007302142,0.0000927431,0.00008110486,0.00009210732],"domain_scores_gemma":[0.9995224,0.00004552797,0.0001758182,0.0000262967,0.0001078439,0.0001219981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002689091,0.00006893227,0.8979934,0.0001775874,0.00004483575,0.001832316,0.001266834,0.000407783,0.08542714,0.00008880053,0.0001953831,0.01222812],"study_design_scores_gemma":[0.000007172408,0.0001488903,0.9945421,0.00001474355,0.00002734015,0.001396484,0.0005852724,0.000368849,0.002344016,0.00002579462,0.0005292235,0.0000100762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990416,0.0001934241,0.0001465548,0.00003143836,0.000003702848,0.00002178365,0.0002317743,0.00000279799,0.000326957],"genre_scores_gemma":[0.9986908,0.0002354167,0.0002890477,0.00003971206,0.000005903555,0.00001132817,0.0005092071,0.00000158057,0.0002170809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03096369,"threshold_uncertainty_score":0.06156695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816597691891285,"score_gpt":0.2587295866352898,"score_spread":0.2405636097163769,"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."}}