{"id":"W4415404479","doi":"10.1182/bloodadvances.2025016821","title":"Utility of placental growth factor for preeclampsia prediction in pregnancies complicated by sickle cell disease","year":2025,"lang":"en","type":"article","venue":"Blood Advances","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre; The Scarborough Hospital; Hamilton Health Sciences; Toronto General Hospital; University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Placental growth factor; Preeclampsia; Context (archaeology); Disease; Pregnancy; Gestational age; Gestation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000399429,0.000120222,0.0002363696,0.00006340967,0.00004558292,0.00000452144,0.00006847826,0.00007196014,0.00002723533],"category_scores_gemma":[0.00008501147,0.0001000895,0.00007654863,0.0002069586,0.0001088803,0.0000948184,0.00002288636,0.00009860166,0.000001072743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000133618,"about_ca_system_score_gemma":0.00008998041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002060458,"about_ca_topic_score_gemma":0.000009945906,"domain_scores_codex":[0.9991651,0.00002007011,0.0002749717,0.0002395406,0.0001140737,0.0001863103],"domain_scores_gemma":[0.9995635,0.00006388886,0.00007425234,0.0001509801,0.00006960906,0.00007775128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001322781,0.00283252,0.9654525,0.003009952,0.00008350803,0.000003929085,0.0002877045,0.00002650621,0.02083322,0.0001847992,0.002260855,0.003701722],"study_design_scores_gemma":[0.01479611,0.0006818176,0.7661572,0.0015903,0.0005111606,0.000002638357,0.001129086,0.002823889,0.1922294,0.001474491,0.01829104,0.0003128772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742519,0.01876577,0.0004218501,0.0003711214,0.0001374,0.001304214,0.0007689805,0.00007510176,0.003903707],"genre_scores_gemma":[0.9980954,0.000585449,0.0001971698,0.00005735201,0.00000947654,0.00005961651,0.0001272894,0.00000854858,0.0008597253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992953,"threshold_uncertainty_score":0.4081534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006286961887272759,"score_gpt":0.2425408908340705,"score_spread":0.2362539289467977,"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."}}