{"id":"W3198223224","doi":"10.3389/fcell.2021.719072","title":"Next Generation Microbiome Research: Identification of Keystone Species in the Metabolic Regulation of Host-Gut Microbiota Interplay","year":2021,"lang":"en","type":"review","venue":"Frontiers in Cell and Developmental Biology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fondation ARC pour la Recherche sur le Cancer; Agence Nationale de la Recherche","keywords":"Keystone species; Dysbiosis; Microbiome; Biology; Gut flora; Identification (biology); Gut microbiome; Metagenomics; Microbial ecology; Commensalism; Ecology; Ecosystem; Immunology; Bioinformatics; Genetics; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001307786,0.001075395,0.00162076,0.002218412,0.0002780864,0.001381296,0.001166142,0.001678428,0.003890206],"category_scores_gemma":[0.001784011,0.0002979315,0.0007065073,0.00195509,0.0006298387,0.001941931,0.001191295,0.0028307,0.002522036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008111711,"about_ca_system_score_gemma":0.001461021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006405883,"about_ca_topic_score_gemma":0.001137675,"domain_scores_codex":[0.9995958,0.00009059361,0.00004223345,0.00007141008,0.0001528802,0.00004707076],"domain_scores_gemma":[0.9990506,0.0005046554,0.00008514459,0.00003300393,0.0002283491,0.00009830598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009980505,0.00005184647,0.0002654998,0.01743182,0.0001546495,0.0002045269,0.00005498948,0.0004030782,0.003742176,0.008704007,0.03323858,0.9356489],"study_design_scores_gemma":[0.00001574809,0.00009955378,0.0007584751,0.003456561,0.000147273,0.0009233687,0.00005533968,0.0001872346,0.00123289,0.004256379,0.9888406,0.00002658708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001046575,0.9972273,0.0005523361,0.0005440336,0.0005732782,0.000006205481,0.00002943227,0.00001841537,0.0009444222],"genre_scores_gemma":[0.00062902,0.997573,0.0005868103,0.0003638595,0.0002878836,0.000009393873,0.00006244306,0.000004153708,0.0004834694],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003890206,"threshold_uncertainty_score":0.01301408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07925641384441023,"score_gpt":0.3484953014001813,"score_spread":0.269238887555771,"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."}}