{"id":"W4214853711","doi":"10.1136/bmjdrc-2021-002703","title":"First trimester plasma microRNAs levels predict Matsuda Index-estimated insulin sensitivity between 24th and 29th week of pregnancy","year":2022,"lang":"en","type":"article","venue":"BMJ Open Diabetes Research & Care","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":15,"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":"Canadian Institutes of Health Research; Génome Québec; Fonds de Recherche du Québec - Santé; Compute Canada; McGill University","keywords":"Medicine; Insulin sensitivity; Pregnancy; Sensitivity (control systems); Index (typography); microRNA; Obstetrics; First trimester; Internal medicine; Diabetes mellitus; Endocrinology; Gestation; Insulin resistance; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002726513,0.0002861351,0.0007492962,0.0005703219,0.0006213813,0.0002074676,0.0005999202,0.0000992982,0.0004488377],"category_scores_gemma":[0.001388672,0.0002731664,0.0001128559,0.001020126,0.0004151354,0.0003368945,0.003838544,0.0009438487,0.00003521843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670201,"about_ca_system_score_gemma":0.0009818944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005127697,"about_ca_topic_score_gemma":0.00009385632,"domain_scores_codex":[0.9942389,0.001123626,0.0005873875,0.0007439854,0.002185551,0.001120597],"domain_scores_gemma":[0.9963378,0.00124254,0.0001657813,0.0007440078,0.0009738982,0.0005359786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006720615,0.0006018783,0.9286484,0.004822089,0.0006844163,0.0003822038,0.001627784,0.0003326279,0.00344402,0.0001130366,0.0111541,0.04751737],"study_design_scores_gemma":[0.004503268,0.002476071,0.9746788,0.00152844,0.00007416049,0.000008020617,0.002418316,0.002418943,0.005968485,0.0002019941,0.005416051,0.0003074344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840564,0.001427976,0.000008957956,0.00168388,0.00005015203,0.007615347,0.001918262,0.00004411397,0.003194898],"genre_scores_gemma":[0.9944829,0.0001131594,0.0007137596,0.00008984219,0.00006099458,0.001570427,0.0007537821,0.00006469644,0.002150412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04720993,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147326930126503,"score_gpt":0.4163139065061954,"score_spread":0.2689869763796924,"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."}}