{"id":"W4205440149","doi":"10.1186/s12958-021-00883-1","title":"Human plasma pregnancy-associated miRNAs and their temporal variation within the first trimester of pregnancy","year":2022,"lang":"en","type":"article","venue":"Reproductive Biology and Endocrinology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Hospitalier Universitaire de Sherbrooke; McGill University Health Centre; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; McGill University; Génome Québec; Compute Canada; Diabète Québec; Canadian Diabetes Association","keywords":"Pregnancy; microRNA; Biology; Placenta; Fetus; Trophoblast; Fold change; Bioinformatics; Gestation; Gene; Andrology; Physiology; Gene expression; Genetics; Medicine","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":[0.0002924206,0.0001166806,0.0002506466,0.0005019387,0.0001499049,0.0005356266,0.0001160756,0.0002189626,0.001246742],"category_scores_gemma":[0.001240296,0.0001653027,0.0001297819,0.0007394638,0.000111441,0.0001295949,0.0002189956,0.0002473142,0.0003774671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718853,"about_ca_system_score_gemma":0.0001189104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112424,"about_ca_topic_score_gemma":0.001204884,"domain_scores_codex":[0.9997122,0.00004665535,0.00002258064,0.0001155196,0.00006095256,0.00004226802],"domain_scores_gemma":[0.9995381,0.0001548044,0.0001542338,0.00002568123,0.00009591867,0.00003137271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003541234,0.00004390549,0.85457,0.0002801183,0.0001980689,0.0008077152,0.001150904,0.0003257264,0.08359645,0.0003510973,0.001420647,0.05371417],"study_design_scores_gemma":[0.000006883693,0.0001074799,0.988612,0.00002323878,0.0000511099,0.001244621,0.0001849476,0.0004333357,0.005767405,0.0001337283,0.003423875,0.00001148639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886138,0.004727612,0.001487531,0.00007989608,0.000028154,0.00001777633,0.003043987,0.00003958237,0.00196159],"genre_scores_gemma":[0.9956478,0.001077762,0.001067074,0.00005170162,0.00001549894,0.00004391263,0.001123715,0.0000175725,0.0009548852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001246742,"threshold_uncertainty_score":0.004170775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416354004364615,"score_gpt":0.2504525813847827,"score_spread":0.2362890413411366,"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."}}