{"id":"W3100377170","doi":"10.7554/elife.58999","title":"Does diversity beget diversity in microbiomes?","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Diversity (politics); Ecological niche; Microbiome; Niche; Biome; Biology; Ecology; Alpha diversity; Evolutionary biology; Biodiversity; Ecosystem; Habitat; Genetics; Sociology","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":[0.002989924,0.000431722,0.001012483,0.001385952,0.00192462,0.004049112,0.0007689441,0.002114585,0.002616098],"category_scores_gemma":[0.008804915,0.000502881,0.000558971,0.00133719,0.004458182,0.006943654,0.004004144,0.001782079,0.0006054204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102153,"about_ca_system_score_gemma":0.0007568926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811247,"about_ca_topic_score_gemma":0.003170697,"domain_scores_codex":[0.9983295,0.000406853,0.00008075424,0.0005836388,0.0002513927,0.0003478386],"domain_scores_gemma":[0.9957624,0.00179654,0.0008675006,0.0003516909,0.0003213722,0.0009005516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001280598,0.0001603974,0.5452707,0.002276539,0.0008262283,0.001690793,0.008513373,0.005110316,0.07576599,0.1691924,0.007921734,0.181991],"study_design_scores_gemma":[0.00008044278,0.00050885,0.5049035,0.0007563226,0.0001682432,0.001723632,0.00793118,0.005891117,0.008443493,0.4154262,0.05391737,0.000249671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.891391,0.03602341,0.02088681,0.02690949,0.0008266159,0.00003611925,0.00118085,0.0002913241,0.02245438],"genre_scores_gemma":[0.989402,0.003474633,0.002767915,0.002767692,0.0002356909,0.00002377787,0.000181635,0.00005127019,0.001095329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004049112,"threshold_uncertainty_score":0.0158124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228455325684335,"score_gpt":0.2193679477060843,"score_spread":0.2070833944492409,"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."}}