{"id":"W2164742234","doi":"10.3109/14767058.2012.680254","title":"Metabolomics and first-trimester prediction of early-onset preeclampsia","year":2012,"lang":"en","type":"article","venue":"The Journal of Maternal-Fetal & Neonatal Medicine","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fetal Medicine Foundation","keywords":"Metabolite; Uterine artery; Preeclampsia; Metabolomics; Gestation; Fetus; Medicine; Pregnancy; Internal medicine; Andrology; Biology; Endocrinology; Obstetrics; Bioinformatics","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":[0.001374425,0.0004050026,0.0002745594,0.0008113192,0.000135704,0.0004934046,0.000218344,0.0004023722,0.0005100615],"category_scores_gemma":[0.005770814,0.0001303054,0.0002020994,0.0003454177,0.0001538517,0.0001736186,0.0002185771,0.0003148759,0.00008243362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002019555,"about_ca_system_score_gemma":0.0002488749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042102,"about_ca_topic_score_gemma":0.0009175111,"domain_scores_codex":[0.999477,0.000265998,0.00004229218,0.00007999125,0.0001038873,0.00003082582],"domain_scores_gemma":[0.997973,0.001028069,0.0006731439,0.00006909091,0.0001481576,0.0001085899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009906812,0.00008537644,0.9830482,0.00005483543,0.000130992,0.0002343766,0.00004459428,0.0002573642,0.003324302,0.00003650494,0.00006216774,0.0117305],"study_design_scores_gemma":[0.0000236336,0.0005903883,0.9934986,0.00002457135,0.0001042403,0.001150806,0.00004118885,0.001387272,0.0028317,0.00006425001,0.0002765828,0.000006809242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959723,0.002688227,0.0007214702,0.0001235073,0.000009525714,0.00001657669,0.0001510685,0.00001170606,0.0003055585],"genre_scores_gemma":[0.9986577,0.000431113,0.000736856,0.00001836857,0.000009133915,0.000005857089,0.00007017372,0.000001403598,0.00006931471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001374425,"threshold_uncertainty_score":0.007268727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099135659316905,"score_gpt":0.2600367124635832,"score_spread":0.2390453558704141,"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."}}