{"id":"W2949554431","doi":"10.2337/dci19-0025","title":"Response to Comment on Barbour and Feig. Metformin for Gestational Diabetes Mellitus: Progeny, Perspective, and a Personalized Approach. Diabetes Care 2019;42:396–399","year":2019,"lang":"en","type":"letter","venue":"Diabetes Care","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Metformin; Medicine; Diabetes mellitus; Rowan; Gestational diabetes; Endocrinology; Pregnancy; Internal medicine; Gluconeogenesis; Perspective (graphical); Birth weight; Physiology; Bioinformatics; Gestation; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002408447,0.0009235466,0.001303725,0.0008016866,0.002573076,0.002072308,0.001835056,0.02406896,0.008271977],"category_scores_gemma":[0.01777355,0.0006538601,0.001063977,0.0005953157,0.001743258,0.002819898,0.001148565,0.02815028,0.009081423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004116215,"about_ca_system_score_gemma":0.002917374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009307111,"about_ca_topic_score_gemma":0.01118082,"domain_scores_codex":[0.9982188,0.0004210669,0.0002275377,0.0002614441,0.0006055654,0.0002655691],"domain_scores_gemma":[0.9953884,0.00188618,0.0003600953,0.0001143763,0.001491194,0.0007596897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003050137,0.00001061941,0.0001923262,0.000028674,0.000004430547,0.0007166912,0.00005344751,0.00001526335,0.00005209705,0.0003681094,0.995764,0.002763914],"study_design_scores_gemma":[0.00009348829,0.0000844618,0.001495369,0.0003923543,0.00003275169,0.004959303,0.0005542483,0.0002649215,0.0003054295,0.002253189,0.9894733,0.00009112158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002204421,0.001207273,0.00006171069,0.969319,0.02783032,0.00001266864,0.00006621878,0.00004910897,0.001233218],"genre_scores_gemma":[0.002108491,0.001025174,0.0001182997,0.9618551,0.02844608,0.00002997375,0.00003659532,0.00002773922,0.006352676],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02406896,"threshold_uncertainty_score":0.02986544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729693024938671,"score_gpt":0.2835293504115209,"score_spread":0.2662324201621342,"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."}}