{"id":"W3173313286","doi":"10.1002/uog.23725","title":"Emerging tool for assessment of left ventricular–arterial coupling after pre‐eclampsia","year":2021,"lang":"en","type":"letter","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"Università degli Studi di Brescia","keywords":"Medicine; Cardiology; Internal medicine; Arterial stiffness; Population; Speckle tracking echocardiography; Diastole; Left ventricular hypertrophy; Heart failure; Blood pressure; Ejection fraction","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":[0.001616742,0.0007277747,0.000573927,0.00319701,0.0002235679,0.001052815,0.0005901637,0.0008372428,0.002418601],"category_scores_gemma":[0.003345313,0.0001973603,0.0003716653,0.001581614,0.0001595274,0.0006897046,0.0007062353,0.0007187185,0.0008041905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455609,"about_ca_system_score_gemma":0.0002415469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005003163,"about_ca_topic_score_gemma":0.0007040852,"domain_scores_codex":[0.9989843,0.0004065988,0.00009948124,0.0002021096,0.0002366798,0.00007087635],"domain_scores_gemma":[0.9979643,0.0008215024,0.0004333007,0.0001033906,0.0005034504,0.0001741096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002302906,0.0004593994,0.7129593,0.000931767,0.0004701807,0.001501882,0.0005197359,0.0008107211,0.0339189,0.001021148,0.004188403,0.2409157],"study_design_scores_gemma":[0.0001511818,0.002027255,0.9437231,0.0003966513,0.0005330268,0.009217403,0.0008256901,0.01859127,0.0123059,0.00195344,0.0101532,0.0001218885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8745963,0.02844234,0.07027373,0.0008090061,0.0006927855,0.0005448029,0.007677749,0.001594119,0.01536916],"genre_scores_gemma":[0.9472302,0.004956028,0.0422018,0.0004125644,0.0003610089,0.0004123898,0.001784584,0.00006211334,0.002579448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00319701,"threshold_uncertainty_score":0.008550286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771414910275584,"score_gpt":0.2859081217014169,"score_spread":0.2681939725986611,"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."}}