{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002982347,0.0004121977,0.0002483544,0.0008492603,0.000802753,0.0003300744,0.0001704586,0.00029069,0.0004938257],"category_scores_gemma":[0.0002647326,0.0002433463,0.000187458,0.0008487598,0.0004572703,0.0002070276,0.0004318035,0.0002485003,0.00004489313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008461988,"about_ca_system_score_gemma":0.0009143762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04757169,"about_ca_topic_score_gemma":0.06234469,"domain_scores_codex":[0.9998333,0.00001986543,0.00002485672,0.00004749092,0.00003374741,0.00004057691],"domain_scores_gemma":[0.9997565,0.00002671783,0.00008332979,0.00001616263,0.00002923829,0.0000881255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001393206,0.00004074051,0.9721809,0.00005422924,0.0000339695,0.002931711,0.001166655,0.0001661202,0.01736785,0.000050518,0.0001014298,0.005766518],"study_design_scores_gemma":[0.00001183009,0.00008995557,0.9972038,0.000009833275,0.00001693523,0.00109634,0.0007455843,0.0001959559,0.0003586778,0.00002722373,0.0002390053,0.000004827704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999666,0.00009607799,0.00003585224,0.00002132168,0.00000162612,0.000008631686,0.0000254954,0.000001187097,0.000143763],"genre_scores_gemma":[0.9994994,0.0001414869,0.00009018002,0.00003192895,0.000003483206,0.000004985372,0.00009777492,5.394198e-7,0.0001302051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04757169,"threshold_uncertainty_score":0.09458959,"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."}}