Bibliographic record
Abstract
Claudia Lozano-Guzman, MD, has joined the Division of Acute Surgery. Dr. Lozano- Guzman received a Harvard Medical School and McGill University International Latin American Scholarship for clinical rotations during her senior year of medical school at Universidad El Bosque in Bogota, Columbia. She completed the General Surgery Residency Program at Beth Israel Medical Center and a Fellowship in Surgical Critical Care at Thomas Jefferson University Hospital (TJUH). She sees patients at three Trauma Centers staffed by Jefferson acute care surgeons: TJUH, Lankanau Hospital and Paoli Hospital. Wilbur Bowne, MD, has joined the Division of General Surgery. Dr. Bowne completed his residency at the Mount Sinai School of Medicine, a Surgical Oncology Fellowship at Memorial Sloan-Kettering Cancer Center and a Laparoscopic/Minimally Invasive Fellowship at the State University of New York, Health Science Center of Brooklyn. As a surgical oncology specialist, he will be building a hyperthermic intraperitoneal chemotherapy (HIPEC) program at Jefferson. He sees patients at Thomas Jefferson University Hospital. Konstadinos A. Plestis, MD, has joined the Division of Cardiac Surgery. A native of Greece, he completed medical school at Aristotelian University of Thessaloniki. Dr. Plestis completed the General Surgery Residency Program at Brooklyn Hospital Center and the Vascular Surgery Residency at Baylor College of Medicine. He then completed a Cardiothoracic Surgery Fellowship at Montefiore Medical Center and is triple board certified in Surgery, Vascular Surgery and Thoracic and Cardiac Surgery. Dr. Plestis is internationally known for his work on complex aortic surgery. He currently sees patients at Jefferson-Abington and is the Director of Jefferson Aorta Surgery.
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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 | 0.001 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.849 | 0.770 |
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".