{"id":"W4200222907","doi":"10.1016/j.ajog.2021.11.163","title":"Can the antepartum oral glucose tolerance test predict future diabetes in women without gestational diabetes?","year":2021,"lang":"en","type":"article","venue":"American Journal of Obstetrics and Gynecology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Impact; McMaster University; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Gestational diabetes; Hazard ratio; Obstetrics; Proportional hazards model; Confidence interval; Diabetes mellitus; Population; Type 2 diabetes; Cohort; Logistic regression; Cohort study; Incidence (geometry); Pregnancy; Internal medicine; Gynecology; Gestation; Endocrinology","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":[0.001807272,0.0009019322,0.001110159,0.00114788,0.0005460128,0.001348507,0.001136507,0.002670111,0.001722294],"category_scores_gemma":[0.01392501,0.0005765389,0.0009061845,0.001531194,0.0005620246,0.00180012,0.0003912273,0.002552465,0.0005052422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004052209,"about_ca_system_score_gemma":0.0009154999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007732314,"about_ca_topic_score_gemma":0.01204365,"domain_scores_codex":[0.9993356,0.0002627961,0.00006421048,0.00007188229,0.0001042937,0.0001612016],"domain_scores_gemma":[0.9957552,0.002396329,0.0006828798,0.0002227415,0.000352272,0.0005905404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002416778,0.00007634566,0.9945984,0.00001697911,0.00004937136,0.0001959381,0.00003313846,0.0000526371,0.00003256067,0.00003682422,0.0003764587,0.004289728],"study_design_scores_gemma":[0.00006847861,0.0003803846,0.9924632,0.0001529693,0.0003890346,0.001252093,0.0008206328,0.002312929,0.0001418167,0.0006907341,0.001301087,0.00002660008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715828,0.009524943,0.0005689223,0.009934134,0.0009679623,0.0000268266,0.000892448,0.00002174122,0.006480338],"genre_scores_gemma":[0.9933332,0.00343879,0.0005747589,0.0008170049,0.000646662,0.00001827164,0.0005449708,0.000006442395,0.0006198423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007732314,"threshold_uncertainty_score":0.0153746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007369008314421279,"score_gpt":0.2525423728055499,"score_spread":0.2451733644911286,"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."}}