{"id":"W4283080733","doi":"10.1038/s42003-022-03535-1","title":"Comparative metagenomics reveals expanded insights into intra- and interspecific variation among wild bee microbiomes","year":2022,"lang":"en","type":"article","venue":"Communications Biology","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Geographic Society","keywords":"Metagenomics; Microbiome; Interspecific competition; Biology; Variation (astronomy); Evolutionary biology; Ecology; Bioinformatics; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003400205,0.00009882815,0.000198426,0.00004851096,0.0009952439,0.00004259018,0.0007476905,0.00006214941,0.0004003691],"category_scores_gemma":[0.0000346999,0.0000485177,0.00003992928,0.000357642,0.0003825947,0.00007016152,0.0008864334,0.000279815,0.00001284659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007374969,"about_ca_system_score_gemma":0.00001274237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005201398,"about_ca_topic_score_gemma":0.00130091,"domain_scores_codex":[0.9985669,0.0007856612,0.0002208949,0.0002085326,0.00005219263,0.0001658105],"domain_scores_gemma":[0.998903,0.0006695377,0.0001031146,0.0001968226,0.00007564439,0.00005185916],"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":[0.00003055915,0.0001157957,0.006745134,0.000002658981,0.00004861913,4.343376e-7,0.005191593,0.000003103945,0.9645136,0.01464771,0.0004353087,0.008265475],"study_design_scores_gemma":[0.0007446077,0.001555599,0.6759406,0.00002288447,0.00007505577,0.00003906873,0.01383414,0.002084504,0.006334884,0.08561715,0.2128757,0.0008757419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940407,0.00272049,0.00002505953,0.00177616,0.00005790822,0.0002628397,0.00003491492,0.00003232953,0.001049658],"genre_scores_gemma":[0.9977863,0.0007902699,0.0005915535,0.000141339,0.00004012239,0.0001079555,0.0004489561,9.222753e-7,0.00009261031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9581787,"threshold_uncertainty_score":0.7654712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07092476283029459,"score_gpt":0.3117237603155519,"score_spread":0.2407989974852573,"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."}}