{"id":"W2995287922","doi":"10.1159/000480169","title":"Technology and Diabetes in Pregnancy","year":2019,"lang":"en","type":"book-chapter","venue":"Frontiers in diabetes","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Pregnancy; Medicine; Diabetes mellitus; Obstetrics; Diabetes in pregnancy; Gestational diabetes; Endocrinology; Biology; Gestation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001602837,0.0003270129,0.0007821266,0.002468059,0.00002000209,0.00002220947,0.0001763598,0.0004182048,0.00008834569],"category_scores_gemma":[0.000146075,0.0003232529,0.00007402211,0.0001863003,0.0002453368,0.00008323104,0.0002085238,0.0006307055,0.00005859909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845143,"about_ca_system_score_gemma":0.0001101147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001580358,"about_ca_topic_score_gemma":0.000008423818,"domain_scores_codex":[0.9981164,0.0000163894,0.0003660666,0.0005534432,0.0003288326,0.0006188371],"domain_scores_gemma":[0.9992549,0.00007061287,0.00009765413,0.0003982,0.00006488903,0.0001137697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001337259,0.00005902152,0.8889536,0.001770655,0.0001779469,0.00004989043,0.00002116198,0.000002829673,0.00005587209,0.01589199,0.01340231,0.07960139],"study_design_scores_gemma":[0.008039312,0.001677875,0.2585126,0.02575943,0.0003223346,0.000001554694,0.0002327024,0.001902756,0.0008053794,0.2800059,0.4208328,0.001907326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1479166,0.09708403,0.00002850619,0.004266358,0.001176875,0.004977905,0.0001337013,0.0001876481,0.7442284],"genre_scores_gemma":[0.08943247,0.008545898,0.00870221,0.0007338056,0.0001161723,0.0003796717,0.0004415969,0.0002200814,0.8914281],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.630441,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008787891555850968,"score_gpt":0.2315000379015207,"score_spread":0.2227121463456698,"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."}}