{"id":"W2913972921","doi":"10.1038/s41586-019-0965-1","title":"A new genomic blueprint of the human gut microbiota","year":2019,"lang":"en","type":"article","venue":"Nature","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1385,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; European Molecular Biology Laboratory; Directorate for Biological Sciences; National Health and Medical Research Council; European Commission; State Government of Victoria; Wellcome Trust","keywords":"Biology; Metagenomics; Genome; Microbiome; Human microbiome; Gut flora; Evolutionary biology; Repertoire; Phylogenetic diversity; Bacterial genome size; Phylogenetic tree; Phylogenetics; Genetics; Computational biology; Gene","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":[0.0001291349,0.0001944377,0.0003388806,0.0007834974,0.0002434816,0.0006858518,0.0001743022,0.0003408283,0.002112882],"category_scores_gemma":[0.00067858,0.000186836,0.0002566223,0.001113972,0.0002074489,0.0003967608,0.0004756674,0.0004144475,0.0006279501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497544,"about_ca_system_score_gemma":0.0002651021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009499848,"about_ca_topic_score_gemma":0.001405787,"domain_scores_codex":[0.9998283,0.00002536041,0.00000672034,0.00008636963,0.00003362869,0.00001959058],"domain_scores_gemma":[0.9997504,0.00007606097,0.00005174522,0.00004713509,0.00003868794,0.00003585052],"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":[0.0007585365,0.000055209,0.05439876,0.0005919564,0.000131482,0.0005872818,0.0006593601,0.002001354,0.7916829,0.004328014,0.003014652,0.1417906],"study_design_scores_gemma":[0.00006281158,0.0005613213,0.7348737,0.0004217529,0.0003717644,0.005185597,0.0009734709,0.01221632,0.08875036,0.0116211,0.1448592,0.0001026595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9177082,0.01135886,0.04168791,0.0010064,0.0001229574,0.00004111079,0.01990569,0.0004144171,0.007754427],"genre_scores_gemma":[0.9295338,0.003614635,0.04653128,0.0007575217,0.0001086385,0.00004569924,0.01744058,0.0001325431,0.001835407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002112882,"threshold_uncertainty_score":0.007068336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003542821390351327,"score_gpt":0.2458301128880469,"score_spread":0.2422872914976955,"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."}}