{"id":"W3101792758","doi":"10.1111/mec.15747","title":"Bacterial dispersal and drift drive microbiome diversity patterns within a population of feral hindgut fermenters","year":2020,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Biology; Biological dispersal; Hindgut; Microbiome; Ecology; Population; Diversity (politics); Evolutionary biology; Genetics; Larva","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006016653,0.0001811417,0.0002556135,0.0004265434,0.0005743513,0.000545916,0.0002686613,0.0003305625,0.0008729759],"category_scores_gemma":[0.002137842,0.0001702184,0.0002138978,0.0003732837,0.0006020066,0.0002761964,0.0003733087,0.0002854181,0.0001035578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007769072,"about_ca_system_score_gemma":0.0007580366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1111597,"about_ca_topic_score_gemma":0.192013,"domain_scores_codex":[0.9996334,0.00008830857,0.00001364125,0.0001590086,0.00003695318,0.00006865617],"domain_scores_gemma":[0.9989893,0.0002976398,0.0003136755,0.0001163516,0.0001440864,0.0001388894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001325225,0.00002183122,0.982685,0.00001374884,0.0000721101,0.00006661809,0.001089121,0.0004102269,0.01104116,0.00005893885,0.00004515393,0.004363616],"study_design_scores_gemma":[0.000001438992,0.00002184872,0.9985611,0.00000354337,0.000009501797,0.00004284652,0.000416818,0.000713932,0.0001404048,0.00003219448,0.0000531629,0.000003155921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999692,0.00002885109,0.0001650233,0.00001046415,5.475754e-7,0.000001394926,0.00004330699,0.000001395123,0.00005714081],"genre_scores_gemma":[0.9995552,0.00002063239,0.0002713097,0.000009356496,8.800295e-7,0.000001981687,0.00007250663,0.000001720947,0.0000665201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1111597,"threshold_uncertainty_score":0.2210253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006935254639150116,"score_gpt":0.2182659050625944,"score_spread":0.2113306504234443,"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."}}