{"id":"W3037792661","doi":"10.1093/femsec/fiaa125","title":"Insights into dryland biocrust microbiome: geography, soil depth and crust type affect biocrust microbial communities and networks in Mojave Desert, USA","year":2020,"lang":"en","type":"article","venue":"FEMS Microbiology Ecology","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Biological Infrastructure; Community Foundation; Canadian Institute for Advanced Research; National Institute of Food and Agriculture; Mycological Society of America; Alfred P. Sloan Foundation; U.S. Department of Agriculture; National Institutes of Health; National Science Foundation","keywords":"Biology; Actinobacteria; Biological soil crust; Ecology; Lichen; Moss; Proteobacteria; Ecosystem; Biodiversity; Microbial population biology; Botany; Bacteria","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":[0.0001163216,0.0001445512,0.0001571469,0.0005041711,0.0002936504,0.0004005353,0.0001101026,0.0001249495,0.0004458189],"category_scores_gemma":[0.0002270167,0.00008045627,0.0001309069,0.0005841528,0.0001928679,0.0001908994,0.0002562049,0.0001447663,0.00006305645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285024,"about_ca_system_score_gemma":0.0002732867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03794337,"about_ca_topic_score_gemma":0.09816095,"domain_scores_codex":[0.9999233,0.00001308445,0.000004623408,0.00002849819,0.00001234881,0.00001804453],"domain_scores_gemma":[0.9998319,0.0000164421,0.00006807526,0.000005591892,0.0000380659,0.00003999393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007924817,0.00002569001,0.9769694,0.00003321204,0.00006562189,0.00007350467,0.0005852699,0.000121621,0.01543694,0.00002437837,0.000175553,0.0064097],"study_design_scores_gemma":[0.000001065548,0.000009581006,0.9990888,0.000004230703,0.000008276706,0.00002085926,0.0003358661,0.0001266615,0.0002072481,0.000006921794,0.0001893897,0.000001090211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995748,0.00009340476,0.00003424889,0.00001582824,6.284387e-7,0.000001155631,0.0001839772,0.000002025665,0.00009405945],"genre_scores_gemma":[0.9990987,0.0001240856,0.0001731174,0.00002829947,0.000002210203,0.000003251593,0.0004425744,0.000002027121,0.0001257129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03794337,"threshold_uncertainty_score":0.075445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491199996998509,"score_gpt":0.2044531497889453,"score_spread":0.1895411498189603,"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."}}