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Record W4389381305 · doi:10.1097/moh.0000000000000790

Editorial introductions

2023· article· en· W4389381305 on OpenAlexaboutno aff
Kirk Taylor

Bibliographic record

VenueCurrent Opinion in Hematology · 2023
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsHematologistEditorial boardMedicineFamily medicineMedical educationLibrary scienceInternal medicineDisease

Abstract

fetched live from OpenAlex

Current Opinion in Hematology was launched in 1994. It is part of a successful series of review journals whose unique format is designed to provide a systematic and critical assessment of the literature as presented in the many primary journals. The field of hematology is divided into nine sections that are reviewed once a year. Each section is assigned a Section Editor, a leading authority in the area, who identifies the most important topics at that time. Here we are pleased to introduce the Editors-in-Chief for this issue. EDITORS-IN-CHIEF Maha OthmanMaha OthmanDr. Othman is a clinical pathologist/hematologist with specialized training in haemostasis laboratory testing and molecular genetics of bleeding disorders and over 20 years’ experience in research and academia. She obtained MSc and PhD degrees from Mansoura University, Egypt and Southampton University, UK. She holds positions at the School of Medicine, Queen's University, the School of Baccalaureate Nursing at St. Lawrence College in Kingston, Ontario, Canada and the faculty of Medicine, Mansoura University, Egypt. Her research interests include the clinical and molecular aspects of von Willebrand disease and platelet disorders, particularly platelet type (PT)-VWD, and thromboelastography assessment of coagulopathies in women, pregnancy and cancer. She is a world leader in the diagnosis and management of PT-VWD. She has more than 100 publications in peer reviewed journals, her research is recognized internationally, and she is invited regularly to speak at international conferences. She is a senior editor for Seminars in Thrombosis and Haemostasis Journal and on the editorial board of Research and Practice in Thrombosis and Haemostasis Journal. She is a member of several scientific organizing committees on women's health, and advisory boards for international haemostasis conferences. She is the previous Chairman of the Scientific and Standardization Committee (SSC) on Women's Health Issues in Thrombosis and Haemostasis of the International Society on Thrombosis and Haemostasis (ISTH) and a current co-chair at the ISTH SSC on DIC. She is a passionate Educator and Mentor and an advocate for rare bleeding disorders and bleeding and clotting disorders in women. She holds the Executive Women in Leadership certificate from Cornell University, US. She is the 2021 recipient of the Academic Excellence Award for her teaching and the “Jessenius Distinguished Lecture Award” (School of Medicine, Martin, Slovakia). She is also the 2022 recipient of the Ontario's Minister of Colleges and Universities’ Award of Excellence for Everyday Hero. This award was for stepping up and making a difference at three levels during the COVID-19 pandemic: Research and Innovation, Teaching and Learning, and Professional Development of Early Career Researchers Kirk TaylorKirk TaylorDr Taylor is a Senior Research Fellow at the University of Reading where his research group focusses on the role of ion channels in regulating thromboinflammatory disease. He was awarded his PhD in Cell Physiology and Pharmacology from the University of Leicester and worked at Anglia Ruskin University, Imperial College London on studies of platelet signalling and pharmacology utilising in vitro and in vivo technologies. His work centres on cell biology and ion channel function and is currently supported by a research grant from the British Heart Foundation. Dr Taylor is an active member of the thrombosis and haemostasis research community with external positions with the Platelet Society and he serves as Equality, Diversity and Inclusion officer for Platelets Journal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.186
Threshold uncertainty score0.622

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.054
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.002
Science and technology studies0.0030.001
Scholarly communication0.0080.005
Open science0.0030.003
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.1860.111

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.390
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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