{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002229979,0.0003593524,0.0009435091,0.001082109,0.001425277,0.003613281,0.0005886472,0.002257633,0.005196924],"category_scores_gemma":[0.00812836,0.0004071982,0.0005122987,0.001174282,0.003844406,0.006585653,0.002417207,0.001413634,0.001117207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009010002,"about_ca_system_score_gemma":0.0004393127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073384,"about_ca_topic_score_gemma":0.001250467,"domain_scores_codex":[0.9991416,0.0002188603,0.00003164154,0.0003300644,0.0001215182,0.000156249],"domain_scores_gemma":[0.9962963,0.00174789,0.0006278449,0.0004181726,0.0002095593,0.0007002339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001216098,0.0001383342,0.325479,0.001720014,0.0006341201,0.001666015,0.005049074,0.008069436,0.05280295,0.4013462,0.01531603,0.1865628],"study_design_scores_gemma":[0.0000656055,0.0002442224,0.2110829,0.0002936634,0.00009338713,0.001104985,0.002289144,0.007063727,0.004398664,0.7418851,0.03132588,0.0001526972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8712327,0.02521649,0.03256777,0.04030405,0.00120618,0.00003025562,0.001827086,0.0006095237,0.02700584],"genre_scores_gemma":[0.9899487,0.002361352,0.003234342,0.002190543,0.0002726972,0.00001895137,0.0002282342,0.00007622726,0.001668913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005196924,"threshold_uncertainty_score":0.01738548,"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."}}