{"id":"W4280526456","doi":"10.1038/s41598-022-11866-6","title":"Prediction of gestational age using urinary metabolites in term and preterm pregnancies","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Fogarty International Center; Bill and Melinda Gates Foundation; National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Institute of General Medical Sciences; Burroughs Wellcome Fund","keywords":"Pregnancy; Urinary system; Gestational age; Cohort; Medicine; Urine; Obstetrics; Cohort study; Gestation; Physiology; Internal medicine; Biology","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":[0.001800517,0.0005999057,0.0006337705,0.0007076623,0.0002135185,0.0008871526,0.0004281635,0.0005282522,0.0004200776],"category_scores_gemma":[0.005839028,0.0002121075,0.0006475593,0.0005974362,0.0002170157,0.0002966167,0.0005775341,0.0006686246,0.0001816743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003285984,"about_ca_system_score_gemma":0.0005414769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005982295,"about_ca_topic_score_gemma":0.004269747,"domain_scores_codex":[0.9995441,0.0002322451,0.00002984523,0.0001145057,0.00004909749,0.00003029633],"domain_scores_gemma":[0.9984749,0.0009525155,0.0002854158,0.0001077812,0.0001026449,0.00007682925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001058667,0.0001027745,0.932808,0.00006453919,0.0002893795,0.000362171,0.0001045237,0.02616031,0.003699962,0.0001739566,0.000302066,0.03487371],"study_design_scores_gemma":[0.0000424916,0.000844193,0.6617045,0.00009158984,0.0003671628,0.0009531764,0.0002498901,0.3262814,0.005866352,0.002286841,0.001247804,0.00006445232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802361,0.001962749,0.01597747,0.0001746471,0.00002187077,0.00003396378,0.0009712005,0.0001083769,0.0005137812],"genre_scores_gemma":[0.9941866,0.0005214813,0.004552517,0.00002810038,0.000008280325,0.00002228452,0.0004767369,0.000009411112,0.0001944541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005982295,"threshold_uncertainty_score":0.01189494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04540856350369279,"score_gpt":0.2755752795749386,"score_spread":0.2301667160712458,"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."}}