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Enregistrement W4254369122 · doi:10.1097/moh.0000000000000388

Editorial introductions

2017· article· en· W4254369122 sur OpenAlexaboutno aff

Notice bibliographique

RevueCurrent Opinion in Hematology · 2017
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueImmunodeficiency and Autoimmune Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTransplantationHematologyMedicineTranslational researchFamily medicineInternal medicineLibrary scienceOncologyPathologyComputer science

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,047
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,189
Score d'incertitude au seuil0,631

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,047
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0050,002
Études des sciences et des technologies0,0030,001
Communication savante0,0080,004
Science ouverte0,0030,003
Intégrité de la recherche0,0060,007
Charge utile insuffisante (le modèle a refusé de juger)0,1890,123

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,033
Tête enseignante GPT0,332
Écart entre enseignants0,299 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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