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Record W4254369122 · doi:10.1097/moh.0000000000000388

Editorial introductions

2017· article· en· W4254369122 on OpenAlexaboutno aff

Bibliographic record

VenueCurrent Opinion in Hematology · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsTransplantationHematologyMedicineTranslational researchFamily medicineInternal medicineLibrary scienceOncologyPathologyComputer science

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 Section Editors for this issue. SECTION EDITORS Armand KeatingArmand KeatingDr Keating is an internationally recognized leader in blood and marrow transplantation and cell therapy. He is a Professor of Medicine and of Biomedical Engineering at the University of Toronto and Director of the Cell Therapy Program at Princess Margaret Cancer Centre and established what has become the largest stem cell transplantation program in Canada. He is a past President of the American Society of Hematology and also a past President of the American Society for Blood and Marrow Transplantation. He has served in a number of advisory roles at the US National Institutes of Health. Dr Keating is a co-Founder of CellCAN, a consortium of cell manufacturing centres and their investigators across Canada and serves as Chair of its Steering Committee. His research and clinical interests focus on cell-based tissue regeneration, anti-cancer cell therapy, and blood and marrow transplantation. He has conducted laboratory, translational and clinical research in these areas, particularly on the biology and clinical application of mesenchymal stromal cells and NK cells. Steven L. SpitalnikSteven L. SpitalnikDr Spitalnik is currently the Executive Vice-Chair and has been a Professor in the Department of Pathology & Cell Biology at Columbia University since 2003. Previously, he was a faculty member in the Departments of Pathology & Laboratory Medicine at the University of Pennsylvania (1985–1998) and the University of Rochester (1998–2003). He received his undergraduate education in mathematics at Princeton University and his MD degree from the University of Chicago. His postgraduate work included residency training in anatomic and clinical pathology at the University of Rochester, and research fellowship training in molecular biology and in glycobiology at the University of Rochester and the National Institutes of Health, respectively. Dr Spitalnik has held multiple committee and leadership positions in various organizations, such as the AABB, the Academy of Clinical Laboratory Physicians and Scientists, the American Society of Hematology, and the Council of Academic Societies. Dr Spitalnik has published over 190 papers, edited two books, and has reviewed manuscripts for many journals, including serving on the Editorial Boards of Analytical Biochemistry, Transfusion, and Transfusion Medicine Reviews. In addition, he has served as a member and chair of multiple study sections at the National Institutes of Health and reviewed grant proposals for other domestic and international grant funding agencies. Dr Spitalnik's research initially focused on glycobiology, particularly on the biosynthesis and immunology of glycoproteins and glycolipids, often using human blood group antigens as models (e.g. in the MNSs, ABH, P, and Lewis blood group systems). Over the last 10 years, he has used cell culture, mouse models, and studies in human volunteers and patient populations to investigate the consequences of red blood cell clearance in several settings, including following transfusions of refrigerator storage-damaged red blood cells, during hemolytic transfusion reactions, in G6PD-deficiency, and in malaria. His research is currently supported by grants from the National Institutes of Health.

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)0.006
metaresearch head score (Gemma)0.047
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 score0.189
Threshold uncertainty score0.631

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.047
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.002
Science and technology studies0.0030.001
Scholarly communication0.0080.004
Open science0.0030.003
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.1890.123

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 head0.033
GPT teacher head0.332
Teacher spread0.299 · 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
Published2017
Admission routes1
Has abstractyes

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