{"id":"W2548335952","doi":"10.3389/fmicb.2016.01753","title":"Deconstructing the Bat Skin Microbiome: Influences of the Host and the Environment","year":2016,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Colorado Boulder; Virginia Department of Game and Inland Fisheries; U.S. Geological Survey; Colorado Parks and Wildlife; Bat Conservation International; New York State Department of Environmental Conservation; John Templeton Foundation; National Science Foundation","keywords":"Microbiome; Biology; Vertebrate; Taxon; Ecology; Host (biology); Zoology; Actinobacteria; Metagenomics; 16S ribosomal RNA; Bacteria; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005311699,0.0001163926,0.0002304229,0.000009323382,0.0003379192,0.000005339495,0.0004359729,0.000148798,0.00005581442],"category_scores_gemma":[0.00008343569,0.00002163089,0.00007076406,0.0001015861,0.004154264,0.00002675429,0.0002988929,0.00012528,0.000005521532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001822386,"about_ca_system_score_gemma":0.000004932139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006262825,"about_ca_topic_score_gemma":0.0004796417,"domain_scores_codex":[0.9988785,0.0003915906,0.000235128,0.0002195654,0.00001834735,0.0002569164],"domain_scores_gemma":[0.9991139,0.0006295946,0.0001476604,0.00008647821,0.0000106392,0.0000117489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000440991,0.00001026284,0.4615164,0.000001376959,0.00004699812,2.288428e-7,0.0001834595,1.959611e-7,0.5210744,0.0001417438,0.001189927,0.01579085],"study_design_scores_gemma":[0.0006623331,0.0000590842,0.9538162,0.00001989471,0.00002430314,0.00004488239,0.001615072,8.273045e-7,0.01779227,0.001567083,0.02427852,0.000119501],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836745,0.002249215,0.000004552938,0.0132374,0.0005053489,0.0002241175,0.00003741813,0.000004835821,0.00006261621],"genre_scores_gemma":[0.9984467,0.0006314656,0.000126652,0.0006003045,0.00003860738,0.00001934977,0.000001713025,5.439526e-7,0.0001346824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5032821,"threshold_uncertainty_score":0.9985558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00455301653045948,"score_gpt":0.1619972254108265,"score_spread":0.157444208880367,"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."}}