{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005545346,0.00007250635,0.00007346758,0.00001694264,0.000122274,0.000005673244,0.0001814088,0.00007856035,0.00003593733],"category_scores_gemma":[0.00002938476,0.00005867883,0.00004706511,0.00007340324,0.00004472594,0.000001751261,0.001316553,0.00005622414,0.00003610553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001074064,"about_ca_system_score_gemma":0.00001832619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000052065,"about_ca_topic_score_gemma":0.000178886,"domain_scores_codex":[0.9994752,0.00002469422,0.00007436667,0.0002112716,0.00008346076,0.0001309495],"domain_scores_gemma":[0.9997432,0.000002212098,0.00002502388,0.0001148175,0.00002782045,0.00008688244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001078834,0.00008152099,0.8042281,0.00002308552,0.00003930027,0.00001242091,0.000870356,0.0002115929,0.1717593,0.00007870122,0.02219141,0.0003963661],"study_design_scores_gemma":[0.003207094,0.0003870482,0.7188016,0.00001455751,0.00003735631,0.000005042757,0.0007604889,0.001341468,0.08035998,0.0001268064,0.1941574,0.0008012517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970904,0.00010525,0.0007576492,0.001205027,0.000115071,0.00006917559,0.00003945737,0.00001285358,0.0006051217],"genre_scores_gemma":[0.9964139,0.0001100674,0.0003431947,0.002488697,0.000096058,5.884089e-7,0.00006598858,0.000004524818,0.0004769784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.171966,"threshold_uncertainty_score":0.2392853,"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."}}