{"id":"W2968427110","doi":"10.1101/736843","title":"Parallel changes in gut microbiome composition and function in parallel local adaptation and speciation","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Society for the Study of Evolution","keywords":"Stickleback; Ecological speciation; Biology; Adaptation (eye); Genetic algorithm; Microbiome; Host adaptation; Evolutionary biology; Local adaptation; Ecology; Host (biology); Fish <Actinopterygii>; Genetic variation; Gene; Genetics; Population; Genome","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":[0.0004304631,0.0001653194,0.0002286791,0.000512487,0.0003501885,0.0004573434,0.00014772,0.0004619798,0.001053058],"category_scores_gemma":[0.0007154588,0.0001448051,0.0002900397,0.0002859754,0.0005683318,0.0002983547,0.0007445592,0.0004563901,0.0001385374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732898,"about_ca_system_score_gemma":0.000131452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403315,"about_ca_topic_score_gemma":0.001933634,"domain_scores_codex":[0.9997835,0.00003799022,0.00001261491,0.00007366682,0.00004463689,0.00004751727],"domain_scores_gemma":[0.999449,0.00009798167,0.0002251008,0.00007884236,0.0000487586,0.0001004392],"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":[0.0005810464,0.00006273075,0.315951,0.00006795994,0.0000917081,0.0008397161,0.0005361306,0.0005913019,0.6722229,0.0003490185,0.0001703187,0.008536257],"study_design_scores_gemma":[0.000006432232,0.0001618094,0.9799948,0.000006455461,0.00001527219,0.0006354569,0.0003504211,0.0007090675,0.01747253,0.0002634966,0.0003718952,0.00001228051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99914,0.0000806285,0.0004779803,0.00002229029,0.000002820918,0.000003778194,0.00005179175,0.00001061788,0.0002099331],"genre_scores_gemma":[0.9993112,0.00002475377,0.0004259287,0.00002772659,0.000001934896,0.000004680499,0.00006397115,0.000003354109,0.000136462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403315,"threshold_uncertainty_score":0.003522873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319399735231065,"score_gpt":0.2176557912545718,"score_spread":0.2044617939022611,"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."}}