{"id":"W4317726009","doi":"10.1210/endocr/bqad013","title":"Fibronectin and JMJD6 Signature in Circulating Placental Extracellular Vesicles for the Detection of Preeclampsia","year":2023,"lang":"en","type":"article","venue":"Endocrinology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Preeclampsia; Placenta; Gestation; Pregnancy; Endocrinology; Intervillous space; Biology; Andrology; Pathogenesis; Fetus; Internal medicine; Trophoblast; Fibronectin; Gestational age; Syncytiotrophoblast; Medicine; Extracellular matrix; Biochemistry","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":[0.0004783738,0.0002036202,0.00026865,0.001059259,0.0002065723,0.0005427532,0.0001713574,0.0002965336,0.0006845213],"category_scores_gemma":[0.000874254,0.0001522723,0.0001739653,0.0004581888,0.0001432472,0.0001905058,0.0002995252,0.0003535881,0.0001488432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978174,"about_ca_system_score_gemma":0.000132529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009838922,"about_ca_topic_score_gemma":0.001276613,"domain_scores_codex":[0.9997798,0.00005014614,0.00002704108,0.00005431168,0.00005719785,0.00003148158],"domain_scores_gemma":[0.9997595,0.00006578603,0.00006810845,0.00001704279,0.00004439659,0.00004522477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002294325,0.00009000093,0.4880692,0.0003007155,0.0001356057,0.0008820121,0.0003553719,0.000379832,0.474196,0.0002005194,0.0004284724,0.03266796],"study_design_scores_gemma":[0.00002618051,0.0004043473,0.9025903,0.00008262861,0.0001466299,0.00408135,0.0003278861,0.005773066,0.08373303,0.0003212473,0.002482659,0.00003064279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910624,0.004729455,0.00234455,0.00006564618,0.00002504799,0.00003245224,0.0006348193,0.00004704024,0.001058524],"genre_scores_gemma":[0.9942008,0.001157195,0.003618679,0.00002950551,0.00001752308,0.00002299334,0.0004302773,0.000006787412,0.0005163054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001059259,"threshold_uncertainty_score":0.002529919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649154002766041,"score_gpt":0.2782606951641896,"score_spread":0.2517691551365292,"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."}}