Bibliographic record
Abstract
Current Opinion in Cardiology was launched in 1985. 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 cardiology is divided into 14 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 Sherif NaguehSherif NaguehAfter graduating from the Cairo University Faculty of Medicine, Egypt, in 1986, Dr Nagueh emigrated to Houston, Texas, USA. He completed his medicine residency and cardiology fellowship at Baylor College of Medicine. He is currently Professor of Medicine at Weill Medical College of Cornell University; and Medical Director of the Echocardiography Laboratory at the Methodist DeBakey Heart Center in Houston, Texas. Dr Nagueh has received several awards, including the Second Annual Feigenbaum Lecture at the American Society of Echocardiography meeting in 2001. He sits on the Editorial Boards of the Journal of the American College of Cardiology, Circulation, Journal of the American Society of Echocardiography, and Clinical Science; and has served as the Imaging and echocardiography Section Editor for Current Opinion in Cardiology since 2001. Andrew PipeAndrew PipeDr Andrew Pipe graduated from Queen's University, Canada, in 1974. Currently Chief of the Division of Prevention and Rehabilitation at the University of Ottawa Heart Institute, Dr Pipe is a Professor in the Faculty of Medicine at the University of Ottawa. He is currently involved in clinical research assessing new approaches to smoking cessation, strategies designed to facilitate exercise adoption, and novel initiatives to prevent cardiovascular disease. Dr Pipe has addressed audiences in over 30 nations and is frequently consulted on issues related to tobacco use and smoking cessation, drug use in sport, and physical activity and health. Dr Pipe is the recipient of the International Olympic Committee's Award for “Sport, Health and Wellbeing” and honorary degrees from Queen's University (LLD), Brock University, Canada (DSc) and University of Guelph, Canada (DSc). He was formerly Vice Chairman of the Board of Trustees at Queen's University. In 2002 he was named to the Order of Canada.
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 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 | 0.058 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.239 | 0.170 |
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".