{"id":"W4285801865","doi":"10.3390/biomedicines10071726","title":"Maternal Body Mass Index Is Associated with Profile Variation in Circulating MicroRNAs at First Trimester of Pregnancy","year":2022,"lang":"en","type":"article","venue":"Biomedicines","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Diabetes Canada; McGill University; Génome Québec; Compute Canada; Canadian Diabetes Association","keywords":"Pregnancy; microRNA; Body mass index; First trimester; Obstetrics; Medicine; Index (typography); Biology; Physiology; Bioinformatics; Internal medicine; Gestation; Genetics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002238231,0.0001583946,0.0004044433,0.0002298293,0.0001494517,0.000004180285,0.00009205477,0.00006238209,0.0003455273],"category_scores_gemma":[0.0000714237,0.0001223639,0.00005047321,0.0005168476,0.00008520269,0.00005746184,0.0001036685,0.0001555356,0.000002889889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953181,"about_ca_system_score_gemma":0.00008059436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307033,"about_ca_topic_score_gemma":0.00004252283,"domain_scores_codex":[0.9986256,0.00006888225,0.0003914716,0.0002577862,0.000415683,0.000240571],"domain_scores_gemma":[0.9993097,0.00009385755,0.0002760135,0.0002044797,0.00007115577,0.00004486083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003044195,0.0001417267,0.9700378,0.0002869225,0.0001847182,0.0001278601,0.002438873,0.00000525886,0.02559089,0.000007828804,0.0005811905,0.0002925179],"study_design_scores_gemma":[0.004165611,0.0005185496,0.9886999,0.00224783,0.00009842282,0.00007299636,0.000213571,0.0003936283,0.00290421,0.00005430486,0.0004953213,0.0001356161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942591,0.002115687,0.00005727175,0.001033515,0.0001935517,0.0006459684,0.00006257772,0.00004400953,0.0015883],"genre_scores_gemma":[0.9977719,0.00003922924,0.0001287521,0.0001628964,0.00005558369,0.0001374998,0.00006172148,0.00002153557,0.001620944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02268668,"threshold_uncertainty_score":0.4989854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660223293363464,"score_gpt":0.2455403467849444,"score_spread":0.2289381138513097,"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."}}