{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005250904,0.0004007385,0.0003171579,0.0008062699,0.0001936652,0.0004430926,0.0002933516,0.0004395561,0.001140128],"category_scores_gemma":[0.001192836,0.0001131452,0.0002950325,0.001181972,0.000270474,0.0001783871,0.0003170384,0.0004144344,0.0001130378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000647551,"about_ca_system_score_gemma":0.000593032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245463,"about_ca_topic_score_gemma":0.006883054,"domain_scores_codex":[0.9996921,0.0001315224,0.00003049525,0.00004603319,0.00006667098,0.00003322971],"domain_scores_gemma":[0.999576,0.0001132225,0.000179392,0.0000202783,0.00003620735,0.00007495908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002100352,0.0001608156,0.8191223,0.001160566,0.0006603919,0.007301539,0.000380283,0.000723133,0.005968935,0.004900467,0.003939736,0.1535816],"study_design_scores_gemma":[0.000040297,0.0002594754,0.9815122,0.0001939611,0.0002446363,0.005383746,0.0001103663,0.000596376,0.0006654509,0.001228729,0.009746548,0.00001815661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5883214,0.3998548,0.001568906,0.003244814,0.0005037881,0.00004200182,0.0007417065,0.0000367403,0.00568587],"genre_scores_gemma":[0.9290169,0.06746504,0.001026384,0.0002191353,0.0003393006,0.00002553751,0.0004666423,0.000004744209,0.00143642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01245463,"threshold_uncertainty_score":0.0247643,"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."}}