{"id":"W2115386324","doi":"10.1016/j.ajog.2015.06.044","title":"Validation of metabolomic models for prediction of early-onset preeclampsia","year":2015,"lang":"en","type":"article","venue":"American Journal of Obstetrics and Gynecology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Metabolomics; Biomarker; Confidence interval; Receiver operating characteristic; Area under the curve; Internal medicine; Preeclampsia; Metabolite; Bioinformatics; Pregnancy; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007297436,0.001519712,0.001113693,0.00124395,0.0003766309,0.001987506,0.0008131256,0.0008315915,0.0008952739],"category_scores_gemma":[0.009872022,0.0002809874,0.001825508,0.0008427508,0.0002600277,0.0007808771,0.0008603308,0.001114383,0.0003757958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005042773,"about_ca_system_score_gemma":0.001187317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003889546,"about_ca_topic_score_gemma":0.002352595,"domain_scores_codex":[0.9983124,0.0009768688,0.00009828535,0.0003333606,0.0001555878,0.0001236315],"domain_scores_gemma":[0.9953598,0.003341263,0.0003722847,0.0003243354,0.0004235165,0.000178787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008126322,0.001499091,0.847454,0.0002311234,0.004457222,0.0003331016,0.0001567429,0.07268315,0.005926629,0.0004305618,0.001826269,0.05687566],"study_design_scores_gemma":[0.0003972343,0.002608039,0.3561306,0.0001146667,0.002475213,0.0004783373,0.0003073899,0.627687,0.00587655,0.002332125,0.001493957,0.00009892715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979391,0.001293144,0.01471595,0.0003817702,0.00008548738,0.00008968045,0.003148642,0.0002223873,0.0006720392],"genre_scores_gemma":[0.9925356,0.0002450514,0.004033936,0.00006707093,0.00002756944,0.0000374886,0.002813489,0.00002006982,0.0002197938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007297436,"threshold_uncertainty_score":0.03859299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04452854397090276,"score_gpt":0.2836237119423033,"score_spread":0.2390951679714006,"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."}}