{"id":"W3171550259","doi":"10.1101/2021.06.14.448190","title":"Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Canadian Institute for Advanced Research; National Institute of Nursing Research; University of Pennsylvania","keywords":"Metabolome; Microbiome; Gestation; Metabolite; Medicine; Metabolomics; Obstetrics; Physiology; Pregnancy; Biology; Bioinformatics; Internal medicine; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004205411,0.0004186147,0.0004259727,0.0005191789,0.0002018215,0.0007995908,0.0001394397,0.0003352875,0.001200128],"category_scores_gemma":[0.001974979,0.0001748677,0.0005110165,0.0007161266,0.0001561179,0.0002356001,0.0005940039,0.0005249605,0.0002614956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207181,"about_ca_system_score_gemma":0.000245074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003077133,"about_ca_topic_score_gemma":0.002263126,"domain_scores_codex":[0.9997292,0.00009748415,0.00001798837,0.00007390954,0.00003737621,0.00004399774],"domain_scores_gemma":[0.9993269,0.0002032221,0.0002766507,0.00007012311,0.00006804231,0.00005503564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008549891,0.00006164399,0.9553165,0.0001630582,0.0004262068,0.0002086332,0.00007134684,0.001983735,0.02551142,0.0002056144,0.0004327254,0.01476407],"study_design_scores_gemma":[0.00001080446,0.0001932257,0.9771495,0.00008382651,0.000199967,0.0004052038,0.0001928608,0.01253337,0.006725085,0.001159786,0.001325858,0.00002038325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989835,0.002228547,0.003700295,0.0002690254,0.00002783341,0.00001456435,0.003241643,0.00003427641,0.0006488459],"genre_scores_gemma":[0.9958072,0.0006680586,0.001929872,0.00005434915,0.000017037,0.00001091783,0.001309166,0.00001131414,0.0001920952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003077133,"threshold_uncertainty_score":0.006118417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008955093291576021,"score_gpt":0.2037235659238986,"score_spread":0.1947684726323226,"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."}}