{"id":"W4312076087","doi":"10.1002/bdr2.2139","title":"Maternal first trimester metabolic profile in pregnancies with transposition of the great arteries","year":2022,"lang":"en","type":"article","venue":"Birth Defects Research","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Academy of Finland; Suomen Lääketieteen Säätiö; Helsingin ja Uudenmaan Sairaanhoitopiiri; Lastentautien Tutkimussäätiö; Helsingin Yliopisto","keywords":"Offspring; Pregnancy; Body mass index; Odds ratio; Great arteries; Medicine; Obstetrics; Subgroup analysis; Gestation; Population; Mass index; Physiology; Internal medicine; Endocrinology; Biology; Heart disease; Confidence interval; Genetics","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":[0.0005667493,0.00007793219,0.0001602854,0.0003335791,0.0002044635,0.00002283943,0.0001720408,0.00001608641,0.0005072849],"category_scores_gemma":[0.00005333995,0.00004842573,0.00005423489,0.0008029451,0.0001766542,0.00007381661,0.0001360443,0.0003129526,0.0000108919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007422619,"about_ca_system_score_gemma":0.0002149893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000210586,"about_ca_topic_score_gemma":0.0002071538,"domain_scores_codex":[0.9977437,0.0002994167,0.0001463324,0.0001856833,0.00124775,0.0003771202],"domain_scores_gemma":[0.9994131,0.0001020386,0.00002789467,0.000246247,0.0001415788,0.00006913812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002603046,0.0005687221,0.9734895,0.002264363,0.000117524,0.0001721416,0.001781136,0.0003748645,0.009048591,0.003262531,0.001491277,0.004826354],"study_design_scores_gemma":[0.001386527,0.0008919454,0.9721275,0.0001923759,0.00001169162,0.0000150134,0.0002775788,0.00008657455,0.01199864,0.0001521235,0.01280884,0.00005121312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942973,0.0007298195,0.000007205489,0.001273783,0.00002144655,0.001296986,0.00005509487,0.00001123531,0.00230715],"genre_scores_gemma":[0.992271,0.0001171308,0.00007770067,0.00006235413,0.00001507552,0.0007423678,0.00002018904,0.00001435648,0.006679803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131756,"threshold_uncertainty_score":0.5554415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148861653526888,"score_gpt":0.3010090643583944,"score_spread":0.2695204478231256,"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."}}