{"id":"W3157791544","doi":"10.1126/scitranslmed.abd9898","title":"Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset","year":2021,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Institute on Aging; Stanford Maternal and Child Health Research Institute; Deutsche Forschungsgemeinschaft; National Heart, Lung, and Blood Institute; Evergreen State College Foundation; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; American Heart Association; National Institutes of Health; March of Dimes Foundation; Bill and Melinda Gates Foundation; Doris Duke Charitable Foundation","keywords":"Metabolome; Proteome; Pregnancy; Peripheral blood; Biology; Medicine; Computational biology; Physiology; Bioinformatics; Internal medicine; Metabolomics; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005359307,0.0001166933,0.0002903928,0.00009584954,0.0002011107,0.000008111476,0.0001471057,0.00002985363,0.0001622063],"category_scores_gemma":[0.0003869618,0.00006385929,0.00004027437,0.001107052,0.002183033,0.0001479357,0.00003129206,0.0001714885,9.043526e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001373937,"about_ca_system_score_gemma":0.0005848925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000534763,"about_ca_topic_score_gemma":0.00002932932,"domain_scores_codex":[0.9985271,0.00005074144,0.0003030086,0.000237607,0.0007005848,0.0001810169],"domain_scores_gemma":[0.9991511,0.0001075441,0.00007430232,0.0002149884,0.0003781447,0.00007395032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002556531,0.00007654541,0.7683702,0.0002438144,0.0001268269,0.00001602504,0.003616159,0.000004557875,0.2170787,0.005588796,0.00008511401,0.004537647],"study_design_scores_gemma":[0.00108714,0.0001001524,0.9585751,0.0006219522,0.00009676278,0.000136256,0.000340877,0.00005921635,0.03650921,0.001426133,0.0009878289,0.00005941612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771559,0.008543082,0.0002037228,0.01124852,0.000373498,0.0003484452,0.00008580057,0.00002345828,0.002017548],"genre_scores_gemma":[0.9974029,0.0002256395,0.001646866,0.0002441219,0.00006864748,0.0000195603,0.00001115226,0.000005351337,0.0003757654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1902049,"threshold_uncertainty_score":0.8043476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885003583677016,"score_gpt":0.2754570499195258,"score_spread":0.2566070140827557,"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."}}