{"id":"W3098017705","doi":"","title":"Does diversity beget diversity in microbiomes?","year":2019,"lang":"","type":"preprint","venue":"Figshare","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biome; Diversity (politics); Ecological niche; Microbiome; Ecology; Niche; Biology; Alpha diversity; Species diversity; Evolutionary biology; Ecosystem; Habitat; Genetics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000133183,0.0006346091,0.0005505244,0.0001801205,0.0004784378,0.00007360948,0.001528421,0.001517427,0.04991612],"category_scores_gemma":[0.0002572228,0.0005740942,0.0004820719,0.0001872058,0.00005236117,0.000007918743,0.03519921,0.0007381157,0.002234389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122106,"about_ca_system_score_gemma":0.0003408251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001617535,"about_ca_topic_score_gemma":0.0007642379,"domain_scores_codex":[0.996895,0.0001736611,0.0004379527,0.001482627,0.0003177287,0.0006930295],"domain_scores_gemma":[0.9978392,0.0000277852,0.0003841538,0.001239079,0.0002847534,0.0002250398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005604461,0.001212513,0.1685088,0.00538355,0.0009171814,0.0001384048,0.002196442,0.01096554,0.01045246,0.00001405905,0.7968524,0.002798289],"study_design_scores_gemma":[0.0049245,0.0004844707,0.3466827,0.005320865,0.0002001866,0.00002617056,0.0006208904,0.004153796,0.007396552,0.0003346111,0.6255866,0.00426868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.161432,0.001766646,0.00003692998,0.000301085,0.001580562,0.001606114,0.8287382,0.00003903118,0.004499461],"genre_scores_gemma":[0.6891224,0.0003401311,0.00008798509,0.0003488836,0.0001990779,0.00002228949,0.3040695,0.00003133558,0.005778359],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5276904,"threshold_uncertainty_score":0.9997788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101095444129582,"score_gpt":0.2405029778332225,"score_spread":0.2194920233919267,"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."}}