{"id":"W2956063300","doi":"10.1002/1873-3468.13527","title":"Compositional and functional features of the female premenopausal and postmenopausal gut microbiota","year":2019,"lang":"en","type":"article","venue":"FEBS Letters","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Science, Technology and Innovation Commission of Shenzhen Municipality; Shenzhen Government","keywords":"Gut flora; Physiology; Postmenopausal women; Roseburia; Firmicutes; Estrogen; Menopause; Microbiome; Medicine; Bacteroidetes; Biology; Internal medicine; Endocrinology; Bioinformatics; Lactobacillus; Immunology; 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":[0.0001301922,0.0001719835,0.0002720436,0.0006864943,0.0002617565,0.0003646364,0.00007970683,0.0002624424,0.001589739],"category_scores_gemma":[0.0004247297,0.0001261805,0.0001570863,0.000419825,0.0001366614,0.0001333908,0.0002514008,0.0001296787,0.0003141482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001084296,"about_ca_system_score_gemma":0.0001299878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621127,"about_ca_topic_score_gemma":0.00229461,"domain_scores_codex":[0.9998959,0.0000200763,0.000007030413,0.00003191467,0.0000197572,0.00002530762],"domain_scores_gemma":[0.9999038,0.00001187047,0.00002795099,0.000009356242,0.00001924684,0.00002794031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003314398,0.0001149939,0.6452993,0.00018585,0.0002102174,0.0004180773,0.0006974669,0.00006460331,0.3097314,0.0001334458,0.0005210693,0.03930924],"study_design_scores_gemma":[0.00001001605,0.0001759959,0.9964036,0.000009493218,0.00003430014,0.0004328315,0.0003084202,0.00006216647,0.001755561,0.00006830347,0.0007346037,0.000004611925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956363,0.002396491,0.0001575523,0.00007661711,0.000008257762,0.000009530421,0.0009161027,0.000005203429,0.0007939584],"genre_scores_gemma":[0.9974682,0.0009256793,0.0002730026,0.0000721279,0.00001398287,0.00001421041,0.0006289132,0.000004330114,0.0005995834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002621127,"threshold_uncertainty_score":0.005318224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005038097922389744,"score_gpt":0.2057273687820648,"score_spread":0.200689270859675,"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."}}