{"id":"W2900621644","doi":"10.1080/14767058.2018.1547703","title":"Can we predict and prevent emergency department visits for postpartum hypertensive complications in patients with hypertensive disorders in pregnancy?","year":2018,"lang":"en","type":"article","venue":"The Journal of Maternal-Fetal & Neonatal Medicine","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Health Research Board; Alberta Health Services","keywords":"Medicine; Emergency department; Pregnancy; Hypertensive disorder; Outpatient clinic; Obstetrics; Emergency medicine; Retrospective cohort study; Public health; Gestational hypertension; Postpartum period; Pediatrics; Preeclampsia; Internal medicine; Psychiatry; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00255752,0.0006113598,0.001139202,0.001769258,0.0006413085,0.001979019,0.001748958,0.001652582,0.002416131],"category_scores_gemma":[0.02871934,0.0004321729,0.00146067,0.001938455,0.0003805627,0.002134187,0.0007865858,0.002051712,0.0004749885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812387,"about_ca_system_score_gemma":0.004736479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05382385,"about_ca_topic_score_gemma":0.07124201,"domain_scores_codex":[0.9987645,0.000468725,0.000151838,0.0001618289,0.0002322285,0.0002209927],"domain_scores_gemma":[0.9935703,0.002406404,0.00161581,0.0001975658,0.001277534,0.0009323541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001565734,0.000160948,0.9752603,0.000159634,0.0001429639,0.00006140017,0.00006216649,0.0004584112,0.00001073115,0.0001150655,0.003618486,0.01979322],"study_design_scores_gemma":[0.0001887023,0.0003142407,0.9809381,0.001489778,0.0007317367,0.0003579427,0.001309959,0.01018631,0.00008296373,0.001646547,0.002708781,0.00004493473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668352,0.0375487,0.002624781,0.07753643,0.001166675,0.00030397,0.006732203,0.0001261594,0.007125816],"genre_scores_gemma":[0.9813887,0.01007119,0.003338886,0.00176395,0.0007054197,0.0001269082,0.002233468,0.00001081804,0.0003605149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05382385,"threshold_uncertainty_score":0.1070212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195434864543958,"score_gpt":0.2515725081488761,"score_spread":0.2396181595034365,"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."}}