{"id":"W4408243205","doi":"10.1186/s12884-025-07349-x","title":"First trimester circulating miR-208b-3p and miR-26a-1-3p are relevant to the prediction of gestational hypertension","year":2025,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université Laval; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Diabète Québec","keywords":"Medicine; Pregnancy; Cohort; Logistic regression; Reproductive medicine; Obstetrics; Prospective cohort study; microRNA; Gestational hypertension; Stepwise regression; Cohort study; Internal medicine; Bioinformatics; Gestation; Genetics; Biology; Gene","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":[0.000695894,0.0003880635,0.0003314363,0.0004476964,0.0002557371,0.0007032948,0.0002396162,0.0004189161,0.001990939],"category_scores_gemma":[0.002579871,0.0002640248,0.0006448427,0.0004292956,0.0002077159,0.000136379,0.0003158841,0.0005654807,0.000527156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981525,"about_ca_system_score_gemma":0.0003713401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002600732,"about_ca_topic_score_gemma":0.00294951,"domain_scores_codex":[0.9997346,0.00006676226,0.00002137691,0.0001042665,0.0000458729,0.00002714349],"domain_scores_gemma":[0.9987873,0.0005828649,0.0003411335,0.00007582663,0.0001006423,0.0001122107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001924613,0.00003492496,0.9571993,0.0001295407,0.0002945924,0.000305734,0.0001287807,0.001212886,0.01974201,0.0001583106,0.001265525,0.01760374],"study_design_scores_gemma":[0.00008365827,0.0001626632,0.9741696,0.00008436508,0.0003465592,0.001706996,0.00009853631,0.01088895,0.008334618,0.0006468955,0.003450451,0.00002680008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875195,0.002483958,0.003891848,0.0003522302,0.00005799577,0.00002146493,0.003968804,0.0001299511,0.001574188],"genre_scores_gemma":[0.9928768,0.0004325942,0.004640868,0.0001563405,0.00001669498,0.00002876184,0.001362507,0.00003969304,0.0004457293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002600732,"threshold_uncertainty_score":0.006660342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513691089379875,"score_gpt":0.2440030364323055,"score_spread":0.2188661255385067,"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."}}