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 Journal's Editor and Section Editors for this issue. SECTION EDITORS Marc RuelMarc RuelDr Marc Ruel is the Head and Chair of Cardiac Surgery at the University of Ottawa Heart Institute, Canada. Dr Ruel's career theme has been to make cardiac surgery less invasive, more evidence-based, and leading to better patient outcomes. Dr Ruel has pioneered multivessel minimally invasive coronary artery bypass surgery worldwide, as well as several other cardiac surgical techniques. The laboratory research program founded by Dr Ruel (www.beatsresearch.com) has also achieved translational impact. Throughout his 11-year tenure as chair, the Cardiac Surgery Division in Ottawa, Canada has massively grown in surgical volumes and outreach, quality, research and innovation, advanced education, as well as in outside referrals, international reputation, widespread recruitment, and overall impact. Dr Ruel has published 450 scientific papers, 5 books, and has delivered over 350 invited lectures. He leads key clinical trials in cardiac surgery, is a recipient of numerous academic and community awards, and has been featured among the ’Giants of Cardiothoracic Surgery’. Dr Ruel was recently the President of the Canadian Cardiovascular Society, one of the most respected medical societies in the world. Dr Ruel serves as Surgery Editor and Associate Editor for the journal Circulation, Canadian Director for the Society of Thoracic Surgeons, and North American Director for the International Society of Minimally Invasive Cardiothoracic Surgery. Peter StonePeter StonePeter H. Stone, MD, is a Professor of Medicine at Harvard Medical School, USA, Director of the Vascular Profiling Research Group, a Co-Director of the Center for Clinical Investigation, and Senior Physician at Brigham & Women's Hospital, USA. Dr Stone's research interests are in evaluating and managing patients with acute and chronic coronary artery disease. He is using new in-vivo methodologies to identify areas where human coronary disease will progress to determine if pre-emptive therapeutic strategies may avert adverse cardiac events. He received his undergraduate degree from Princeton University, USA, and his Medical Degree from Cornell University, USA. He completed internal medicine training at the University of California, San Francisco, USA, and then did a clinical cardiology fellowship at Pacific Medical Center in San Francisco, USA. He came to the Peter Bent Brigham Hospital as a Cardiology Research Fellow and he has remained at Brigham and Women's Hospital. He is past President of the Boston Chapter of the American Heart Association, past President of the International Society for Holter and Noninvasive Electrocardiology, and is a Fellow of the American College of Cardiology and the American Heart Association.
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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 | 0.058 |
| 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 | 0.009 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.180 | 0.118 |
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".