{"id":"W2948868125","doi":"10.2337/db19-1407-p","title":"1407-P: Laboratory Glycemic Markers vs. Continuous Glucose Monitoring (CGM) for Prediction of Neonatal Outcomes in Type 1 Diabetes Pregnancy—An Ancillary Study of the CONCEPTT Trial","year":2019,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic; Medicine; Neonatal hypoglycemia; Pregnancy; Continuous glucose monitoring; Type 1 diabetes; Hypoglycemia; Logistic regression; Neonatal intensive care unit; Diabetes mellitus; Gestational age; Obstetrics; Type 2 diabetes; Pediatrics; Internal medicine; Gestational diabetes; Gestation; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005430241,0.001747778,0.002687727,0.0003199211,0.0004343112,0.001873767,0.001481608,0.002363124,0.005930684],"category_scores_gemma":[0.007319611,0.0005411333,0.00308584,0.000472278,0.0008640371,0.002030607,0.001090432,0.003919439,0.0006995858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007010354,"about_ca_system_score_gemma":0.001417837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001607551,"about_ca_topic_score_gemma":0.001281608,"domain_scores_codex":[0.9978448,0.001570585,0.00005934748,0.0002704725,0.0001352571,0.0001195289],"domain_scores_gemma":[0.9968171,0.001698144,0.0003622583,0.0003738939,0.0001754944,0.0005731155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.9688866,0.002640441,0.008049469,0.0004186337,0.002776572,0.00004196929,0.00005698201,0.0004105846,0.0005274553,0.0003055004,0.001805046,0.0140807],"study_design_scores_gemma":[0.7853646,0.1566957,0.04102465,0.0003542079,0.005772328,0.0001504441,0.0001515861,0.005416955,0.000516807,0.001547568,0.002907138,0.00009804957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984796,0.005546706,0.0005877488,0.001748875,0.001163518,0.001264045,0.002697701,0.00005657688,0.002138721],"genre_scores_gemma":[0.9792301,0.002769724,0.002521152,0.002042531,0.00184872,0.003736277,0.00474378,0.00006436354,0.003043342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005930684,"threshold_uncertainty_score":0.02871817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900074239602268,"score_gpt":0.2825832742344857,"score_spread":0.263582531838463,"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."}}