{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006300176,0.0001955492,0.0002757422,0.00035314,0.0001975812,0.0004866628,0.0001751881,0.0002936415,0.00132168],"category_scores_gemma":[0.002746731,0.0002195666,0.0002958454,0.0005499562,0.0001422663,0.0001583672,0.0002545735,0.0004490664,0.0001782154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679209,"about_ca_system_score_gemma":0.0001802075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881666,"about_ca_topic_score_gemma":0.001915262,"domain_scores_codex":[0.9995885,0.0001254558,0.00003253065,0.0001406503,0.00006209657,0.00005072241],"domain_scores_gemma":[0.9990034,0.0003985624,0.00034338,0.000102807,0.00006795175,0.00008401369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009958941,0.00002411989,0.9753274,0.00005394884,0.0002064555,0.0002960443,0.0003266462,0.00009012314,0.01175306,0.0001716768,0.0003086599,0.0104459],"study_design_scores_gemma":[0.00000495421,0.00006654262,0.997893,0.00001442198,0.00005770829,0.0003760824,0.00005195835,0.0001855462,0.0007015725,0.00009505103,0.0005483959,0.000004829161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949228,0.001838831,0.001001945,0.000126624,0.0000282834,0.000008252348,0.0008982764,0.00001763595,0.00115728],"genre_scores_gemma":[0.9978587,0.0005823181,0.0006432903,0.00006470454,0.00001093882,0.0000205685,0.0003320728,0.00001598181,0.0004714636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001881666,"threshold_uncertainty_score":0.004421413,"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."}}