{"id":"W4385969380","doi":"10.1111/dme.15205","title":"Gestational diabetes: One size does not fit all—an observational study of maternal and neonatal outcomes by maternal glucose profile","year":2023,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"South Health Campus; University of Alberta; Canadian VIGOUR Centre; University of Toronto; Alberta Medical Association; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Gestational diabetes; Insulin resistance; Internal medicine; Diabetes mellitus; Gestational age; Population; Insulin; Endocrinology; Cohort; Pregnancy; Obstetrics; Gestation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007388215,0.0002673335,0.0006061887,0.0002686176,0.00008496666,0.00002809847,0.0001987364,0.00006161114,0.001385881],"category_scores_gemma":[0.0008110384,0.000181422,0.00004633476,0.0002978537,0.0002409567,0.0001815932,0.0001451864,0.0001929602,0.00004194246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004994953,"about_ca_system_score_gemma":0.00006928534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001664282,"about_ca_topic_score_gemma":0.00002144426,"domain_scores_codex":[0.9965265,0.0001130149,0.000655069,0.0004584164,0.001721873,0.000525083],"domain_scores_gemma":[0.9980438,0.000754524,0.000173506,0.0003121031,0.0003032427,0.000412795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000168168,0.0006140333,0.9647515,0.0006356532,0.000522877,0.00004767889,0.0008610702,0.00001399612,0.01931264,0.0003161067,0.003615424,0.009140886],"study_design_scores_gemma":[0.005229434,0.001805736,0.9831465,0.0001897577,0.0001633357,0.000001461265,0.000770937,0.001482973,0.005854778,0.0005005967,0.0006945609,0.0001599552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904373,0.00009839328,0.00001272288,0.00760927,0.000165662,0.001179058,0.0003089798,0.00008797996,0.0001006858],"genre_scores_gemma":[0.9927664,0.00009493553,0.0005686642,0.001477119,0.0001207864,0.0002846908,0.0008077641,0.00003831583,0.003841369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01839501,"threshold_uncertainty_score":0.999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0807620020058055,"score_gpt":0.3480471421434927,"score_spread":0.2672851401376872,"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."}}