{"id":"W4207014340","doi":"10.1111/mec.16372","title":"Predicting fungal infection rate and severity with skin‐associated microbial communities on amphibians","year":2022,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; Natural Sciences and Engineering Research Council of Canada; John Templeton Foundation; Simons Foundation","keywords":"Biology; Pathogen; Host (biology); Amphibian; Microbial population biology; Species richness; Microbial ecology; Ecology; Pathogenic bacteria; Microbiome; Bacteria; Microbiology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003650187,0.0002353846,0.0002275073,0.0003594937,0.000195368,0.0003570513,0.000154053,0.0002099818,0.0005669203],"category_scores_gemma":[0.0008298027,0.0001230369,0.0002472048,0.0002229416,0.0002200834,0.0002846126,0.0002861562,0.0002782537,0.0001353999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584077,"about_ca_system_score_gemma":0.0001479507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003435737,"about_ca_topic_score_gemma":0.00817002,"domain_scores_codex":[0.9997272,0.00009944533,0.00001131752,0.0000759775,0.00004901857,0.00003710936],"domain_scores_gemma":[0.9992834,0.0001698833,0.0003258574,0.00003902307,0.00007952618,0.0001023301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003807121,0.0001363507,0.8497883,0.00002875573,0.00006499875,0.00003876799,0.0001370863,0.001183001,0.1412907,0.00002813358,0.00004064442,0.006882573],"study_design_scores_gemma":[0.000001092111,0.0001602195,0.9948562,0.000001914121,0.00001023991,0.00002754757,0.00007785218,0.001813495,0.003003224,0.00001143001,0.00003345852,0.000003270651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996983,0.00001890924,0.0001675893,0.000003244225,3.363227e-7,0.000002426977,0.00004808884,0.000001926871,0.00005921343],"genre_scores_gemma":[0.99935,0.00001817249,0.0004742169,0.000003817394,8.067759e-7,0.00000338969,0.00008551464,9.340912e-7,0.00006314673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003435737,"threshold_uncertainty_score":0.006831467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0058010657531409,"score_gpt":0.2157497081421301,"score_spread":0.2099486423889892,"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."}}