{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004625226,0.0009156286,0.0006805952,0.0005304289,0.0005153025,0.001302279,0.0009011358,0.0006359548,0.008654571],"category_scores_gemma":[0.01235361,0.0001757585,0.0008190274,0.0005003299,0.0006039318,0.0008763862,0.001565105,0.001437746,0.001075386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002728436,"about_ca_system_score_gemma":0.001365643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003069808,"about_ca_topic_score_gemma":0.003862626,"domain_scores_codex":[0.9979823,0.0009915287,0.00008414197,0.0004625327,0.0001882622,0.0002913766],"domain_scores_gemma":[0.9952481,0.002991219,0.0003705623,0.0007263246,0.0001887351,0.0004750637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01623864,0.001580503,0.8890473,0.0002042566,0.003170419,0.0005696952,0.0003192992,0.004230183,0.007521121,0.000385249,0.01899748,0.0577357],"study_design_scores_gemma":[0.0005233675,0.004226797,0.9464269,0.00005643433,0.0009977586,0.001051171,0.0006549535,0.0350308,0.003504514,0.001459043,0.005998568,0.00006967102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770572,0.0003738733,0.006427726,0.0004006625,0.0002466133,0.0001541129,0.01283716,0.0002906695,0.002211921],"genre_scores_gemma":[0.9882241,0.00005140978,0.001755457,0.0001547014,0.00003008095,0.0001603376,0.008138477,0.00007164985,0.001413833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008654571,"threshold_uncertainty_score":0.02895242,"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."}}