{"id":"W2527818815","doi":"10.6084/m9.figshare.c.3493062.v1","title":"Supplementary material from \"Microevolutionary traits and comparative population genomics of the emerging pathogenic fungus <i>Cryptococcus gattii</i>\"","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Cryptococcus gattii; Fungus; Pathogenic fungus; Fungal disease; Population; Filamentous fungus; Genomics; Cryptococcus; Genetics; Genome; Botany; Microbiology; Demography; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001347113,0.001169648,0.001142921,0.002823649,0.001534802,0.002032441,0.00234112,0.00197374,0.5529379],"category_scores_gemma":[0.008610568,0.0009112061,0.001200933,0.005042612,0.0003948844,0.001531272,0.002159084,0.001468626,0.1302931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165766,"about_ca_system_score_gemma":0.002566239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040504,"about_ca_topic_score_gemma":0.01723853,"domain_scores_codex":[0.9990339,0.0001662119,0.0000968221,0.0002454162,0.0003083863,0.000149351],"domain_scores_gemma":[0.9962823,0.002150011,0.0002467784,0.0003945731,0.0005747052,0.0003516052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004056489,0.0001097058,0.002771625,0.002628495,0.000112409,0.000302624,0.0002230003,0.0009874798,0.006501574,0.004274611,0.9528139,0.02886903],"study_design_scores_gemma":[0.0004327835,0.0001480429,0.01786499,0.000990139,0.0001020431,0.0005856326,0.0001843073,0.001925226,0.002639036,0.007537143,0.9674895,0.000101228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002283803,0.0004400329,0.006730935,0.001151312,0.001802197,0.0001517006,0.9695297,0.002385289,0.01552493],"genre_scores_gemma":[0.01084085,0.001296634,0.01442385,0.001676326,0.000379791,0.000566481,0.9485375,0.001855603,0.02042291],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5529379,"threshold_uncertainty_score":0.6376798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057244542080236,"score_gpt":0.2707539663932944,"score_spread":0.230181520972492,"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."}}