{"id":"W2581665815","doi":"10.1038/srep41115","title":"Physical Activity, TV Watching Time, Sleeping, and Risk of Obesity and Hyperglycemia in the Offspring of Mothers with Gestational Diabetes Mellitus","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Chinese Diabetes Society; European Foundation for the Study of Diabetes; Eli Lilly and Company","keywords":"Medicine; Gestational diabetes; Offspring; Obesity; Confidence interval; Diabetes mellitus; Logistic regression; Screen time; Odds ratio; Childhood obesity; Internal medicine; Pregnancy; Obstetrics; Demography; Endocrinology; Gestation; Overweight; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005274226,0.000290313,0.0002464266,0.0004344695,0.0001883359,0.0003409957,0.0002220449,0.0002503683,0.000933136],"category_scores_gemma":[0.001781225,0.0003182856,0.0005362429,0.0006320053,0.0001250787,0.0001869859,0.0002280903,0.00047643,0.0001060297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001672223,"about_ca_system_score_gemma":0.000152973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007933504,"about_ca_topic_score_gemma":0.006469047,"domain_scores_codex":[0.9997545,0.00009433168,0.00002689609,0.00004786856,0.00004309882,0.00003326128],"domain_scores_gemma":[0.9990348,0.0002682223,0.0004431192,0.00006496342,0.00007539382,0.0001135506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004114973,0.000008679816,0.9995093,0.000002427782,0.0000395926,0.00002437072,0.00001124059,0.000009992713,0.00008023549,0.000002608916,0.00001044589,0.0002599779],"study_design_scores_gemma":[0.000002019886,0.00003212786,0.9996532,0.000003064567,0.00003585911,0.00005824955,0.0000369592,0.000115879,0.00002858817,0.000005414963,0.00002778298,8.931073e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991817,0.0004245758,0.00008163898,0.00002541206,0.00000757507,0.000001515234,0.0001581996,0.000002047514,0.0001171489],"genre_scores_gemma":[0.9994227,0.0002062383,0.0001021801,0.00001217803,0.000008248806,0.000003068882,0.0001421848,0.000001077263,0.0001022312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007933504,"threshold_uncertainty_score":0.01577467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176204154541704,"score_gpt":0.2701854188721901,"score_spread":0.2584233773267731,"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."}}