{"id":"W2598594813","doi":"10.1126/sciadv.1600513","title":"Dynamic microbiome evolution in social bees","year":2017,"lang":"en","type":"article","venue":"Science Advances","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":594,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Eusociality; Biology; Pollinator; Sociality; Ecology; Host (biology); Generalist and specialist species; Coevolution; Gut flora; Evolutionary biology; Microbiome; Zoology; Pollination; Hymenoptera; Habitat; Pollen","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":[0.0002431758,0.0001093575,0.0001733528,0.0005553769,0.0003977053,0.0005628887,0.0001412669,0.0004268586,0.0008145564],"category_scores_gemma":[0.0009270448,0.000117169,0.0001301015,0.0003596629,0.0003538084,0.000340838,0.0006720428,0.0002626419,0.0001404094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429077,"about_ca_system_score_gemma":0.0001361137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022944,"about_ca_topic_score_gemma":0.002412392,"domain_scores_codex":[0.9998021,0.00006116552,0.000008345069,0.00006089505,0.00002639245,0.00004117439],"domain_scores_gemma":[0.9996954,0.00005720774,0.0001158044,0.00003881272,0.00003911019,0.00005364359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004515819,0.0000923304,0.5861529,0.0001053054,0.0002212569,0.0004175713,0.00346356,0.0006052263,0.3660231,0.0008938927,0.0005075323,0.04106573],"study_design_scores_gemma":[0.000004125679,0.00006048182,0.9959137,0.000009936474,0.0000164192,0.0002383638,0.0007151646,0.0005198598,0.001328009,0.0002792269,0.0009059174,0.000008669012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993517,0.000215139,0.0001104872,0.00002411728,0.000001464987,0.000001571018,0.00004000127,0.000002655365,0.000252918],"genre_scores_gemma":[0.9994442,0.000105641,0.0002376854,0.00003185018,0.00000230922,0.000003166669,0.00006561149,0.000003201013,0.0001063669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001022944,"threshold_uncertainty_score":0.002724946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460490567290903,"score_gpt":0.2657239692275385,"score_spread":0.2411190635546295,"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."}}