Bibliographic record
Abstract
Current Opinion in Lipidology was launched in 1990. 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 lipidology is divided into six 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 Paul DurringtonPaul DurringtonPaul Durrington MD FRCP FRCPath FAHA FMedSci retired from his substantive post as Professor of Medicine at the University of Manchester in 2009 and retired as Consultant Physician at Manchester Royal Infirmary, UK in 2012. Since 2009 Professor Durrington has continued to work in the Cardiovascular Research Group of the University of Manchester as Honorary Professor of Medicine. He graduated in physiology and medicine at the University of Bristol and trained in general (internal) medicine, diabetes mellitus and metabolic disorders. From 1979–80, he worked at the University of California, San Diego, USA, as a travelling fellow of the British Heart Foundation and American Heart Association. His research interests centre on disorders of lipoprotein metabolism, atherogenic modification of lipoproteins, insulin resistance and diabetes and the translation of clinical trial evidence into practice. In 2001 he was elected to the Fellowship of the Academy of Medical Sciences for his work on diabetic dyslipidaemia and on HDL metabolism. He was Chairman of the British Hyperlipidaemia Association (1992–1995), a member of the British Heart Foundation Project Grants Committee (1997–2000), Director of Research and Development at the Central Manchester Healthcare Trust (1997–2001) and from 2008 to 2012 he led the Greater Manchester Vascular Research Network. He has been a member of the European Cardiac Society Task Force on Dyslipidaemia (2009–2015) and a consultant to the National Institute of Health and Care Excellence (NICE). Currently, he chairs the Steering Committee of a National Institute of Health Research-funded project to evaluate protocols for identifying and managing patients with familial hypercholesterolaemia. He is author of more than 400 original papers and other publications including Hyperlipidaemia: Diagnosis and Management 3rd edition (2007). Robert HegeleRobert HegeleRob Hegele is a distinguished University Professor of Medicine and Biochemistry, University of Western Ontario, Canada, and Director of the Lipid Genetics Clinic and the London Regional Genomics Centre in London, Ontario, Canada. Professor Hegele received his MD degree from the University of Toronto in 1981. His specialty training in internal medicine and in endocrinology & metabolism was also in Toronto. His post-doctoral research fellowships were at Rockefeller University, USA, and Howard Hughes Medical Institute, University of Utah, USA. From 1989 to 1997 he was on the Faculty of Medicine at the University of Toronto. In 1997 Dr Hegele joined the Schulich School of Medicine and Dentistry and the Robarts Research Institute at the Western University, in London, Ontario, Canada, where he holds the Jacob J. Wolfe Distinguished Medical Research Chair and the Martha Blackburn Chair in Cardiovascular Research. His lab studies the genetics of lipoprotein metabolism, cardiovascular disease and diabetes mellitus. Solely or through collaborations, his lab was first to describe the molecular genetic basis of 20 human diseases. His lab has also defined much of the genetic basis of complex disorders, including hypertriglyceridemia. He has co-authored more than 600 peer-reviewed publications and has contributed to national treatment guidelines for dyslipidemia, hypertension and diabetes. He is a practising endocrinologist and has participated in numerous clinical trials. He has trained numerous physicians and graduate students.
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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 | 0.007 | 0.060 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.209 | 0.129 |
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".