Paul N. Manson, M.D., Joseph S. Gruss, M.D., and Larry H. Hollier, Jr., M.D.
Bibliographic record
Abstract
I want to thank Drs. Joseph S. Gruss, Paul N. Manson, and Larry H. Hollier, Jr., for responding to the challenge of shared responsibility as guest editors for this issue of Seminars in Plastic Surgery entitled ``Craniomaxillofacial Trauma: State of the Art.'' I am also especially grateful to the invited authors for sharing their knowledge and expertise in the field of craniofacial trauma. I have the pleasure of introducing these three devoted physicians who are all leaders in their field. Dr. Paul N. Manson is Professor and Chairman of the Department of Plastic Surgery, The John Hopkins Hospital, and Division of Plastic Surgery, The John Hopkins School of Medicine. Dr. Manson received his medical degree from Northwestern University Medical School and completed his plastic surgery residency at The John Hopkins Hospital. Throughout his career, he has been a leader in the field of facial trauma, and his contributions have significantly improved the care of these patients. Dr. Joseph S. Gruss is Professor and Chief of Craniofacial, Plastic and Reconstructive Surgery, Children's Hospital and Regional Medical Center in Seattle, Washington. Dr. Gruss received his medical education at the University of Witwatersrand Medical School in Johannesburg, South Africa. He is board certified in plastic and reconstructive surgery by the Royal College of Physicians and Surgeons of Canada. Dr. Gruss' exceptional achievements in the field of facial trauma have been recognized nationally and internationally. Dr. Larry H. Hollier, Jr., is Assistant Professor and full-time faculty member in the Division of Plastic Surgery, Michael E. DeBakey Department of Surgery at Baylor College of Medicine, Houston, Texas, and serves as Associate Editor of Seminars in Plastic Surgery. He received his medical degree from Tulane University School of Medicine, New Orleans, Louisiana. Dr. Hollier completed his residency training in plastic surgery at the University of Texas Southwestern Medical Center, Dallas, Texas. In addition, he is fellowship trained in craniofacial surgery and hand and microvascular surgery. The guest editors have put together a comprehensive issue touching on problematic areas in facial trauma and on recent advances in the field. We are indebted to them for this work.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.035 | 0.014 |
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".