{"id":"W4402580735","doi":"10.1186/s12884-024-06651-4","title":"Prediction of gestational diabetes mellitus by multiple biomarkers at early gestation","year":2024,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; Shanghai Municipal Health Commission","keywords":"Gestational diabetes; Medicine; Reproductive medicine; Gestation; Diabetes mellitus; Obstetrics; Gestational age; Pregnancy; Endocrinology","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":[0.002525196,0.0007681414,0.0005308717,0.000952112,0.0001677861,0.0006314224,0.0003903172,0.0003918077,0.0004044556],"category_scores_gemma":[0.004908933,0.0002402829,0.000597771,0.0006613876,0.0002475787,0.0003321682,0.0004075578,0.0005463179,0.0001119288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281725,"about_ca_system_score_gemma":0.000559313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003271719,"about_ca_topic_score_gemma":0.002354255,"domain_scores_codex":[0.9994341,0.000277445,0.0000431378,0.0001199479,0.00008310462,0.00004218222],"domain_scores_gemma":[0.997895,0.0008566497,0.0007688719,0.0001470128,0.0001778197,0.0001545805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004199127,0.00002735356,0.9893373,0.00002146381,0.0001119352,0.00007399002,0.00002688034,0.002093455,0.0005393122,0.00003164947,0.00007688201,0.007239837],"study_design_scores_gemma":[0.00005515435,0.0004669748,0.9306681,0.00007168561,0.0004329752,0.0005463958,0.00008010061,0.065099,0.001572061,0.0006070618,0.00037577,0.00002460739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945067,0.001264474,0.003552419,0.0001277268,0.00001810271,0.00001513863,0.0002452834,0.00002803332,0.0002422603],"genre_scores_gemma":[0.9976518,0.0002251371,0.001886353,0.00001453488,0.00000961477,0.000009389017,0.0001395022,0.00000268227,0.00006100342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003271719,"threshold_uncertainty_score":0.01335466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165931144177551,"score_gpt":0.2413596432822067,"score_spread":0.2247665288644516,"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."}}