{"id":"W2990567916","doi":"10.1101/851485","title":"Drivers of phyllosphere microbial functional diversity in a neotropical forest","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Smithsonian Tropical Research Institute","keywords":"Phyllosphere; Metagenomics; Biology; Microbiome; Functional diversity; Ecology; Shotgun sequencing; Evolutionary biology; Host (biology); Gene; DNA sequencing; Genetics; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002932308,0.0002982771,0.0002373301,0.0009719405,0.0004442603,0.0005560237,0.0002552689,0.0002284012,0.0007174928],"category_scores_gemma":[0.0004387521,0.0001316168,0.0001544196,0.0007216721,0.0005468529,0.0003748731,0.0005516231,0.0002115442,0.0001140443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006072226,"about_ca_system_score_gemma":0.0003943336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948774,"about_ca_topic_score_gemma":0.03099507,"domain_scores_codex":[0.9998523,0.00001932768,0.000006982792,0.00006223274,0.00002810445,0.00003099398],"domain_scores_gemma":[0.9996025,0.00007170236,0.0001259859,0.00002793109,0.00009472984,0.0000771436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002032428,0.0000313727,0.9025457,0.00008836515,0.0001331165,0.0002374827,0.0006608166,0.0007832255,0.08737648,0.0001490051,0.0001286058,0.00766257],"study_design_scores_gemma":[0.000001800636,0.000009462636,0.9984882,0.000004257723,0.00000792873,0.00004036442,0.0003587904,0.0005925749,0.0002866296,0.00005411472,0.0001527766,0.000003065202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994816,0.00008805432,0.0001025905,0.00001330218,4.785828e-7,0.000002760265,0.0001393319,0.000004482732,0.000167541],"genre_scores_gemma":[0.9994926,0.00006519521,0.0001821891,0.0000166008,0.000001344487,0.000005217772,0.0001649397,0.00000291585,0.00006898197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01948774,"threshold_uncertainty_score":0.03874862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242445438753222,"score_gpt":0.1911484514083183,"score_spread":0.1787239970207861,"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."}}