{"id":"W4281905638","doi":"10.1186/s40168-022-01270-7","title":"Linking gastrointestinal microbiota and metabolome dynamics to clinical outcomes in paediatric haematopoietic stem cell transplantation","year":2022,"lang":"en","type":"article","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Biotechnology and Biological Sciences Research Council; NIHR Great Ormond Street Hospital Biomedical Research Centre; Great Ormond Street Hospital Charity; Medical Research Council; National Institute for Health and Care Research","keywords":"Biology; Transplantation; Metabolome; Lachnospiraceae; Microbiome; Hematopoietic stem cell transplantation; Immunology; Internal medicine; Medicine; Bioinformatics; Bacteria; Firmicutes; Genetics; Metabolomics","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":[0.0007494582,0.0002664984,0.0005475294,0.0006440532,0.0002672276,0.0009295009,0.0002579877,0.0003572119,0.001485476],"category_scores_gemma":[0.002696823,0.0001397155,0.0004954469,0.001485115,0.0002821559,0.0003773892,0.001151305,0.000784595,0.0002783604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004885771,"about_ca_system_score_gemma":0.0005517303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545718,"about_ca_topic_score_gemma":0.003034704,"domain_scores_codex":[0.999482,0.0001307624,0.00005053109,0.0001238275,0.0001130964,0.0000998809],"domain_scores_gemma":[0.9986826,0.0002406924,0.0006470014,0.00007111212,0.0001553563,0.0002032693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007696666,0.00005923962,0.9785341,0.0001762346,0.000180685,0.0002528967,0.0003119237,0.0005336211,0.002719776,0.00005930604,0.0006569177,0.01574552],"study_design_scores_gemma":[0.000006756571,0.0001462549,0.997184,0.00004715945,0.00005971687,0.0004285107,0.0002239741,0.0005281575,0.0004300599,0.0001182861,0.0008185555,0.000008547861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948201,0.001732228,0.0004888161,0.0001503069,0.000015773,0.00001922576,0.002416466,0.00001581148,0.0003411422],"genre_scores_gemma":[0.9940911,0.0009420826,0.0009007076,0.00008294605,0.00002799214,0.00003322675,0.003708977,0.00001186118,0.0002010589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002545718,"threshold_uncertainty_score":0.005061805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154847023315103,"score_gpt":0.2691137665725679,"score_spread":0.2575652963394169,"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."}}