{"id":"W3018634305","doi":"10.1089/dia.2020.0073","title":"Continuous Glucose Monitoring Versus Self-Monitoring of Blood Glucose to Assess Glycemia in Gestational Diabetes","year":2020,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Medicine; Gestational diabetes; Diabetes mellitus; Continuous glucose monitoring; Insulin; Blood Glucose Self-Monitoring; Pregnancy; Internal medicine; Gestation; Endocrinology; Obstetrics; Type 1 diabetes","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002236106,0.0002965328,0.000568388,0.0006188323,0.00006682657,0.0000319109,0.000401492,0.0002466385,0.00001598822],"category_scores_gemma":[0.0002934342,0.0003097419,0.00009891787,0.001337073,0.0001424177,0.0001180749,0.0002367527,0.0005359417,0.00003606614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237786,"about_ca_system_score_gemma":0.0001351973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002879567,"about_ca_topic_score_gemma":9.719579e-7,"domain_scores_codex":[0.9975525,0.00005640326,0.0005174017,0.0004857506,0.0005823565,0.0008055722],"domain_scores_gemma":[0.9984875,0.0003903237,0.0001420172,0.0003790955,0.0003568617,0.0002442024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001839031,0.0003959874,0.6983718,0.0002570052,0.0007169378,0.00002585745,0.0002663893,0.00006031398,0.283961,0.0003951182,0.00001325825,0.01535252],"study_design_scores_gemma":[0.005118493,0.002293316,0.2028553,0.0002624754,0.0004355134,5.206988e-7,0.0008863747,0.0004517363,0.7847686,0.0003424302,0.002265725,0.0003195339],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914905,0.00234057,0.00002823632,0.004668476,0.0002416623,0.0007406786,0.00002438395,0.000315215,0.0001503215],"genre_scores_gemma":[0.9874315,0.0004779041,0.01124277,0.0004017752,0.0001447647,0.0002004703,0.00002881817,0.00005472021,0.00001730765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5008076,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04699148279797675,"score_gpt":0.3188307181463204,"score_spread":0.2718392353483436,"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."}}