{"id":"W3080849595","doi":"10.1371/journal.pntd.0008493","title":"Emerging Cryptococcus gattii species complex infections in Guangxi, southern China","year":2020,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Guangxi Medical University; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Cryptococcus gattii; Biology; Multilocus sequence typing; Cryptococcosis; Outbreak; Cryptococcus; Species complex; Phylogenetic tree; Microbiology; Virology; Genotype; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000001557,0.0002155534,0.0004299806,0.0001368042,0.0002116534,0.00003483607,0.0000688201,0.00005774227,0.001948493],"category_scores_gemma":[0.0007059023,0.0001807261,0.0001807909,0.000752184,0.0001302224,0.00006411688,0.0000745186,0.0002926459,0.0002041223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007251949,"about_ca_system_score_gemma":0.00005736671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008635953,"about_ca_topic_score_gemma":0.0001006586,"domain_scores_codex":[0.9987256,0.00006947618,0.0003082943,0.0003318998,0.0002321753,0.0003325748],"domain_scores_gemma":[0.9992826,0.00009494381,0.00004652526,0.0001757925,0.00008621658,0.0003138969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000270039,0.001747425,0.9252371,0.0002197574,0.0002701845,0.0001062917,0.001090296,0.00006870017,0.06418128,0.0005178328,0.005742066,0.0005489946],"study_design_scores_gemma":[0.001259486,0.0004527157,0.99191,0.00009111397,0.0001905287,0.000005563121,0.0003454348,0.001297758,0.0001126381,0.00009809602,0.004057275,0.0001793574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885545,0.0004260587,0.0002576286,0.006563974,0.00007203345,0.0005109446,0.0001230676,0.0003955579,0.003096263],"genre_scores_gemma":[0.998199,0.00009431428,0.000123363,0.0008110041,0.0004287886,0.0001011447,0.00006015812,0.00002893896,0.0001532414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06667289,"threshold_uncertainty_score":0.9989638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03773517325308031,"score_gpt":0.269597855489912,"score_spread":0.2318626822368317,"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."}}