{"id":"W2971436011","doi":"10.1038/s41396-019-0498-5","title":"Drivers of human gut microbial community assembly: coadaptation, determinism and stochasticity","year":2019,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; McMaster University; U.S. Department of Health and Human Services","keywords":"Biology; Determinism; Microbial population biology; Ecology; Microbial ecology; Evolutionary biology; Computational biology; Genetics; Bacteria; Epistemology","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":[0.0004368709,0.00007833061,0.0001204781,0.00002470882,0.0003096544,0.00002143796,0.0001899743,0.00007178954,0.00002149711],"category_scores_gemma":[0.00001677768,0.00005868333,0.00004769852,0.00002398698,0.0001017881,0.000003834193,0.00009046146,0.0002868027,0.000004004411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001040698,"about_ca_system_score_gemma":0.00007751781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000631052,"about_ca_topic_score_gemma":0.00007978304,"domain_scores_codex":[0.999366,0.0001806981,0.0001845068,0.00006879539,0.00006368534,0.0001363155],"domain_scores_gemma":[0.9994895,0.00001974772,0.0001675703,0.0001872751,0.00008281558,0.00005309446],"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":[0.00002204765,0.00002788612,0.001652161,0.00001380124,0.0000237912,3.46823e-7,0.0006070808,0.00001967384,0.9966559,0.00005129076,0.0007094104,0.0002165432],"study_design_scores_gemma":[0.005331198,0.003686168,0.5015045,0.0001784272,0.0001737711,0.001203682,0.004469426,0.0001760779,0.4745836,0.0009375984,0.007138557,0.0006169724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986017,0.00005702335,0.0006802909,0.000201729,0.0001164277,0.00009646625,0.000008945702,0.000002093179,0.000235269],"genre_scores_gemma":[0.9991258,0.00004460806,0.000184543,0.0002509026,0.00009228943,3.994873e-7,0.00000963371,0.000008010752,0.0002838174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5220724,"threshold_uncertainty_score":0.2393037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477603421893079,"score_gpt":0.2747534511092897,"score_spread":0.2599774168903589,"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."}}