Bibliographic record
Abstract
Current Opinion in Clinical Nutrition and Metabolic Care was launched in 1998. It is one 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 fields of clinical nutrition and metabolic care are divided into 15 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 Chris McGloryChris McGloryChris McGlory is an Associate Professor at Queen's University, Ontario, Canada. Dr. McGlory specializes in the use of stable isotopic tracers to track skeletal muscle protein turnover during periods of fasting, feeding, training, and surgery. His work employs a range of methodologies such as deuterium labelling of proteins and magnetic resonance imaging, as well as a variety of molecular biology techniques for measurement of enzyme activity, protein expression, and post-translational modification. Currently, his lab is focused on exploring how omega-3 fatty acid and essential amino acid intake protect against muscle disuse atrophy. Dr. McGlory has received over $3 M in funding from agencies such as European Society for Clinical Nutrition and Metabolism, Canadian Institutes of Health Research, National Sciences and Engineering Research Council of Canada, and the New Frontiers in Research Fund to support his work. He has published over 70 scientific papers and has delivered numerous invited national and international presentations at prestigious scientific meetings, such as the European College of Sport Science, the American College of Sports Medicine, and the International Biochemistry of Exercise Conference. In 2024, he was awarded the Young Investigator Award by the Canadian Society for Exercise Physiology for his work related to stable isotopes and skeletal muscle atrophy. Javier T. GonzalezJavier T. GonzalezJavier T. Gonzalez, FASN, is Professor of Nutrition and Metabolism at the University of Bath, UK. Prof. Gonzalez is interested in human fuel use. How we get fuel from our diet, burn fuels during exercise; and store fuels when they exceed our requirements. His research group employs a variety of methods to understand human fuel use, including indirect calorimetry, tissue biopsies and stable isotope infusion and ingestion. They use these methods across laboratory-based and free-living studies. Prof. Gonzalez joined the Department for Health at the University of Bath in 2014 as a Lecturer (Assistant Professor) before being promoted to Senior Lecturer (Associate Professor) in 2017, Reader (Associate Professor) in 2020 and Professor of Nutrition and Metabolism in 2022. He is also a consultant to sports teams and industry. In recognition of his research, he received the Julie Wallace Award in 2018 from the Nutrition Society and in 2025, became one of the Inaugural Excellence in Nutrition Fellows of the American Society for Nutrition. He is also an Associate Editor for the International Journal of Sport Nutrition & Exercise Metabolism. Karin AmreinKarin AmreinKarin Amrein, MD, MSc trained at the Medical University of Graz, Austria, including one Erasmus semester in Cagliari, Italy, graduating in 2001 as the youngest MD in Austria aged 21. Following this, Dr. Amrein started training in general internal medicine in Switzerland. In 2006, she made a detour to transfusion medicine at the Medical University of Graz, Austria, and developed an interest in clinical research, studying the effects of apheresis on bone health of blood donors. In 2008, Dr. Amrein moved to the Division of Endocrinology and was involved in several ICU trials on glycemic control. She now works as an internist and has a subspecialty degree in intensive care medicine and endocrinology/ metabolism. Dr. Amrein is the chief investigator for the VITDALIZE Study: Effect of High-dose Vitamin D3 on 28-day Mortality in Adult Critically Ill Patients (VITDALIZE), that now also recruits in several European countries including Germany, Belgium and the United Kingdom. Her research interests are vitamin D in critical illness, hypoparathyroidism, bone metabolism in critical care and other settings, and donor health, specifically donation induced iron depletion (and its therapy) and the effects of apheresis on bone health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.206 | 0.128 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".