{"id":"W2974399542","doi":"10.1016/j.jcjd.2019.07.038","title":"31 - Pre-Existing Diabetes in Pregnancy Cohort: Rationale, Design and Characteristics","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Glycemic; Pregnancy; Diabetes mellitus; Diabetes in pregnancy; Cohort; Diabetes management; Cohort study; Family medicine; Gestational diabetes; Type 2 diabetes; Gestation; Internal medicine; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006918025,0.001248297,0.00103855,0.001616763,0.002718585,0.001438247,0.001910336,0.001423326,0.008928793],"category_scores_gemma":[0.01031409,0.00130976,0.001400662,0.001803663,0.0008917239,0.0008517397,0.001670412,0.001581783,0.003516946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756613,"about_ca_system_score_gemma":0.004979261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501396,"about_ca_topic_score_gemma":0.01916942,"domain_scores_codex":[0.995447,0.001806358,0.0006296093,0.0009289062,0.0005751353,0.0006128878],"domain_scores_gemma":[0.997395,0.0004195799,0.0002952301,0.0007319417,0.0006539712,0.0005042888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02336113,0.003261206,0.9174509,0.0007742819,0.001287449,0.001267456,0.003044238,0.0006166734,0.002783738,0.00554093,0.01364319,0.02696875],"study_design_scores_gemma":[0.009877856,0.01671912,0.8660493,0.001006753,0.002350474,0.003619921,0.004231776,0.00244676,0.002115301,0.005170287,0.08623116,0.0001814484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8362435,0.00449681,0.01970736,0.002156536,0.0008176601,0.07257022,0.04952898,0.0001218872,0.01435713],"genre_scores_gemma":[0.8263903,0.001865885,0.01991156,0.002472849,0.0004805307,0.1141227,0.02033471,0.00009366478,0.01432789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01501396,"threshold_uncertainty_score":0.03658646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189279384506628,"score_gpt":0.2571931112415027,"score_spread":0.2353003173964364,"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."}}