{"id":"W2613045548","doi":"10.1016/j.annepidem.2017.05.001","title":"Weight gain during pregnancy and the black-white disparity in preterm birth","year":2017,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center on Minority Health and Health Disparities; National Institute on Minority Health and Health Disparities; National Institute of Child Health and Human Development; National Institute of Dental and Craniofacial Research; National Institute on Deafness and Other Communication Disorders; Forskningsrådet om Hälsa, Arbetsliv och Välfärd","keywords":"Medicine; Weight gain; Pregnancy; Obstetrics; Birth weight; Body mass index; Gestational age; Logistic regression; Gestation; Population; Body weight; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001613097,0.0000829237,0.000407759,0.00007631532,0.00008838266,0.000006036386,0.0001629717,0.00005186134,0.00004321998],"category_scores_gemma":[0.008205201,0.00005076332,0.00006515678,0.00002926831,0.000755318,0.00007251069,0.0001847362,0.0001558605,0.000006119151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005642152,"about_ca_system_score_gemma":0.00001799488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001554888,"about_ca_topic_score_gemma":0.00007968396,"domain_scores_codex":[0.9986634,0.0003595016,0.0003241099,0.0002025901,0.00008620027,0.0003642262],"domain_scores_gemma":[0.9983689,0.0008071032,0.0001937569,0.0004620834,0.00006589,0.0001022343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004691365,0.00005460915,0.9721444,0.0005274107,0.00007603098,0.00002417563,0.0001530802,0.00002332444,0.00006074419,0.02033197,0.001351372,0.004783743],"study_design_scores_gemma":[0.001607292,0.00009790566,0.9786056,0.0003392285,0.000008794896,0.000002518288,0.00001504822,0.001061428,0.0001515332,0.01709955,0.000965764,0.00004536173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381566,0.00295686,0.00006678179,0.05025221,0.00003473898,0.0005131913,0.00001078545,0.000006868271,0.00800193],"genre_scores_gemma":[0.9891861,0.008231693,0.0002224783,0.0008249271,0.00003563157,0.00003983128,0.000007926071,0.000005651752,0.001445729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0510295,"threshold_uncertainty_score":0.9822985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09965808128568263,"score_gpt":0.3962932874312151,"score_spread":0.2966352061455325,"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."}}