{"id":"W4206938981","doi":"10.3389/fendo.2021.805722","title":"Fibroblast Growth Factor 19 in Gestational Diabetes Mellitus and Fetal Growth","year":2022,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Science and Technology Commission of Shanghai Municipality; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China; Shanghai Municipal Health Commission","keywords":"Endocrinology; Internal medicine; Birth weight; FGF19; Gestational diabetes; Cord blood; Medicine; Gestational age; Fetus; Insulin; Umbilical cord; Proinsulin; Gestation; Pregnancy; Biology; Obstetrics; Fibroblast growth factor","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001113249,0.0002003161,0.0002496357,0.0004028938,0.0001059804,0.00001688343,0.0003189489,0.00009444818,0.00008228216],"category_scores_gemma":[0.0001901654,0.000229654,0.00005273889,0.0002516317,0.0002543031,0.00001153219,0.0005625017,0.0004173282,0.000003481787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497786,"about_ca_system_score_gemma":0.0001321928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001220352,"about_ca_topic_score_gemma":0.00007063444,"domain_scores_codex":[0.9979222,0.0002942733,0.0002747257,0.0005688439,0.0002190485,0.0007209129],"domain_scores_gemma":[0.9995582,0.0000419723,0.00005865181,0.0001999294,0.00003783667,0.0001034136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001999119,0.000129306,0.9319579,0.00006966951,0.00005641477,0.00007263722,0.0001789424,0.0001009234,0.05924944,0.0007339933,0.005907462,0.001343386],"study_design_scores_gemma":[0.004905467,0.001683336,0.9032834,0.00002774334,0.000009390544,0.0001382247,0.001077248,0.0008456312,0.06569204,0.005344376,0.01608258,0.0009105831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964433,0.001667395,0.0003333692,0.0005159122,0.000264554,0.000271749,0.0001490992,0.00001636009,0.0003382231],"genre_scores_gemma":[0.9970064,0.0002637118,0.001923736,0.0001607501,0.00005916168,0.0001538276,0.0002059779,0.0000315793,0.0001948639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02867454,"threshold_uncertainty_score":0.936502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00838336454886944,"score_gpt":0.2354432014855799,"score_spread":0.2270598369367105,"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."}}