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Record W4302425228 · doi:10.1097/mco.0000000000000876

Editorial introduction

2022· editorial· en· W4302425228 on OpenAlexaboutno aff

Bibliographic record

VenueCurrent Opinion in Clinical Nutrition & Metabolic Care · 2022
Typeeditorial
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

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 Labros S. SidossisLabros S. SidossisProfessor Labros S. Sidossis received his doctorate from the University of Texas Medical Branch, Galveston, USA. He is currently Distinguished Professor at the Department of Kinesiology and Health, at Rutgers University, USA. Dr Sidossis’ research has focused on the biochemical mechanisms regulating the metabolic responses in humans in various conditions (e.g., obesity, insulin resistance, dyslipidemias, severe burn injury) and the lifestyle determinants that affect healthy aging. He has received grant support from the National Institutes of Health, the American Diabetes Association, the National Center for Research Recourses, the Shriners Hospitals for Children, the European Union, and the industry. Dr Sidossis has published over 200 articles in peer reviewed journals with an h-factor of 62 and i10-index of 167. He has been an invited speaker and has assumed committee responsibilities, in many congresses and conferences. He is also a member of the editorial board and a journal referee in several scientific journals. Carla PradoCarla PradoCarla Prado (PhD, Registered Dietitian) is a Professor at the University of Alberta, Canada, and a Campus Alberta Innovate Program (CAIP) Chair in Nutrition, Food and Health. She is also the director of the Human Nutrition Research Unit, the best facility in Canada, and one of the top facilities worldwide for body composition and energy metabolism assessments. Carla is an expert in assessing nutritional status through the precise measurement of body composition and energy metabolism. Her research is dedicated to exploring the prevalence and clinical implications of sarcopenic obesity (concurrent appearance of low muscle and high fat) in several conditions, particularly cancer. The focus of her current research program is to develop targeted nutrition interventions for the prevention and treatment of low muscle mass and sarcopenic obesity in patients with diverse conditions. She is currently the principal investigator of five randomized controlled trials investigating the impact of nutrition intervention on body composition and health. As a mid-career investigator, Carla has published more than 220 articles plus additional 12 book chapters. Her h-index is 49 (Scopus) or 58 (Google Scholar; i-10 index: 121). She is also an Associate Editor for Clinical Nutrition and the Journal of Cachexia, Sarcopenia and Muscle. Carla is a past recipient of Canada's Top 40 Under 40, an award that celebrates exceptional young Canadian leaders of all sectors, and she was recently inducted into the Royal Society of Canada College of New Scholars, Artists and Scientists,; the highest academic honor in her country. Nathalie M. DelzenneNathalie M. DelzenneNathalie M. Delzenne is Full Professor at the Université catholique de Louvain (UCL). She is a lecturer in Nutrition Biochemistry and Metabolism and is the leader of the Metabolism and Nutrition Research Group at the Louvain Drug Research Institute at UCL in Brussels, Belgium. She is involved in international scientific committees (President of the Belgian Nutrition Society, Editor for the Current Opinion in Clinical Nutrition and Metabolism, member of the Scientific Board of the European Society for Enteral and Parenteral Nutrition, former member of the Board of directors of the International Scientific Association for Probiotics and Prebiotics etc.). After a PhD in Pharmaceutical sciences obtained in 1991, a post-doctoral certificate in Nutrition (Lausanne, CH), she performed a post-doctoral research related to nutrients-gene interactions (Paris Inserm Unit 342), she has been back at the Université catholique de Louvain. She started an academic carrier and has been pioneer in the discovery of nutrients (prebiotics) targeting the gut microbiota to control of nutritional disorders (obesity, cachexia, polyunsaturated fatty acid deficiencies etc.). She has published more than 300 papers and lead a large amount of international projects focused on nutrition and health. For further details on her research team and activities, please visit http://www.uclouvain.be/en-269734.html Henry C. LukaskiHenry C. LukaskiDr Lukaski is an adjunct Professor in the Department of Kinesiology and Public Health Education at the University of North Dakota, USA. He is also a consultant to the US and international biomedical and nutrition communities. He served as Supervisory Research Physiologist, Research Leader and Assistant Center Director at the United States Department of Agriculture, Agricultural Research Service, and Human Nutrition Research Center in Grand Forks, North Dakota. His research focuses on the interaction of physical activity and micronutrients in humans, emphasizing iron, zinc, copper, magnesium, and chromium, to promote health and optimal function/performance. His work also includes development and validation of non-invasive methods to assess human body composition. He has published in peer-reviewed scientific literature including numerous book chapters, and edited books and special issues on sports nutrition and body composition, and public and professional policy statements. He made hundreds of invited lectures at universities, research institutes, and government, scientific and professional societies worldwide. Dr Lukaski is a Fellow of the American College of Sports Medicine, the Human Biology Council and the Nutrition Society of Latin America. He is a member of the American College of Sports Medicine, American Physiological Society, American Society of Nutrition, and British Nutrition Society. Dr Lukaski received numerous awards and recognition from the United States Department of Agriculture, Agricultural Research Service and scientific/professional groups for his contributions to the fields of nutrition and physiology, and development of young scientists. Dr Lukaski currently is a member of three, and past member of five, editorial boards, and an editorial consultant for a variety of peer-reviewed journals in physiology, nutrition, medicine, and sport sciences. He is a member of the faculty for the Nutrition Diplomate Program of the International Olympic Committee, and has served and continues to provide service as an advisor in nutrition to many national and international health agencies and research organizations, including the National Academy of Sciences, National Institutes of Health, Food and Drug Administration, Department of Defense, National Aeronautic and Space Administration, Pan American Health Organization, World Health Organization, and International and US Olympic Committees. As an NIH pre-doctoral trainee, Dr Lukaski received his Master of Science and doctoral degrees in physiology and nutrition from the Pennsylvania State University, USA. He served as a Post-doctoral Research Associate with the United States Department of Agriculture, Agricultural Research Service, and was a Visiting Scientist at the Brookhaven National Laboratory, USA.

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)0.004
metaresearch head score (Gemma)0.028
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 score0.206
Threshold uncertainty score0.689

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.028
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0080.005
Open science0.0030.002
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.2060.111

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 head0.083
GPT teacher head0.476
Teacher spread0.393 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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