{"id":"W2799545393","doi":"10.1530/eje-18-0130","title":"Gestational diabetes with diabetes and prediabetes risks: a large observational study","year":2018,"lang":"en","type":"article","venue":"European Journal of Endocrinology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences","keywords":"Prediabetes; Gestational diabetes; Medicine; Observational study; Diabetes mellitus; Internal medicine; Endocrinology; Pregnancy; Gestation; Obstetrics; Type 2 diabetes; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007092025,0.000161842,0.0003099032,0.0003175662,0.0001262991,0.00004042649,0.000153366,0.00001287003,0.0001956262],"category_scores_gemma":[0.000486978,0.0001181918,0.0000505456,0.0001831239,0.0002801972,0.0001910378,0.000122522,0.0002639744,0.00004231585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002927701,"about_ca_system_score_gemma":0.00009525152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.06959e-7,"about_ca_topic_score_gemma":0.000003354077,"domain_scores_codex":[0.997974,0.0003836149,0.0004331275,0.0002171851,0.0004860247,0.0005060032],"domain_scores_gemma":[0.9983153,0.0002713001,0.0002423031,0.0001562707,0.000794591,0.000220246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001594162,0.0005729173,0.9884337,0.00005753073,0.0005573831,0.0002685951,0.0003291646,0.000005091017,0.001003575,0.0006803469,0.00209139,0.005840879],"study_design_scores_gemma":[0.004053534,0.009249573,0.9779047,0.00007519002,0.000136666,0.00003191152,0.0004701296,0.00009003255,0.0003691177,0.0001839139,0.00732796,0.0001072809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955166,0.0003388719,0.0001295665,0.001437439,0.0001034273,0.0003211676,0.00001837674,0.00002062445,0.002113903],"genre_scores_gemma":[0.9955581,0.00003953933,0.002977277,0.0006654774,0.0004341081,0.000009118059,0.00002058042,0.00002861923,0.0002671415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01052902,"threshold_uncertainty_score":0.4819721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07971913774979915,"score_gpt":0.3343612236004445,"score_spread":0.2546420858506453,"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."}}