{"id":"W2032882777","doi":"10.1016/j.preghy.2012.04.091","title":"OS090. Performance of candidate clinical and biochemical markers in screening early in pregnancy to detect women at high risk to develop preeclampsia","year":2012,"lang":"en","type":"article","venue":"Pregnancy Hypertension","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Canadian Historical Association; Université Laval","funders":"","keywords":"Preeclampsia; Medicine; Pregnancy; Biomarker; Logistic regression; Obstetrics; Prospective cohort study; Aspirin; Placental growth factor; Gestational age; Bioinformatics; Gynecology; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008391279,0.0003755305,0.0009912773,0.0003551334,0.0001083039,0.000009038613,0.0001804075,0.0002810446,0.00002072488],"category_scores_gemma":[0.001065628,0.0003244267,0.0000711849,0.0009180603,0.0001459016,0.000241634,0.0006056396,0.0004873846,0.00002454201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001440479,"about_ca_system_score_gemma":0.00007706197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000416674,"about_ca_topic_score_gemma":0.0001726025,"domain_scores_codex":[0.9967988,0.0002285073,0.0009638392,0.0006650332,0.0003752454,0.0009686375],"domain_scores_gemma":[0.9983143,0.0002905271,0.0001775961,0.0005531598,0.0001497821,0.0005146104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001915833,0.0001349035,0.9178133,0.0003189338,0.00006492971,0.00003885519,0.002284372,0.000006319493,0.002631279,0.00000415393,0.00008464568,0.07470249],"study_design_scores_gemma":[0.003577064,0.000830748,0.9730142,0.01481861,0.00006882477,0.00005229436,0.00009998502,0.0001079303,0.006914694,0.00002335441,0.0001200869,0.0003722342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860739,0.01185188,0.00007242813,0.0001809932,0.0001957854,0.001341969,0.00001658969,0.00005065805,0.0002158242],"genre_scores_gemma":[0.9854504,0.004277512,0.009563441,0.0002097454,0.00005506158,0.0002661258,0.000008879958,0.00004731526,0.0001214717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07433025,"threshold_uncertainty_score":0.9999208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294669922756379,"score_gpt":0.2736741263765589,"score_spread":0.244207134100921,"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."}}