Bibliographic record
Abstract
Perry G Fine, MD, completed medical school in 1981 at the Medical College of Virginia in Richmond (VA, USA). He served an internship in 1982 at the Community Hospital of Sonoma County in Santa Rosa, California, and completed his residency in 1984 at the University of Utah Health Sciences Center in Salt Lake City (UT, USA). In addition, Dr Fine completed a fellowship in 1985 at the Smythe Pain Clinic of the University of Toronto in Ontario, Canada. Dr Fine is a Professor in the Department of Anesthesiology of the School of Medicine at the University of Utah, where he serves on the faculty in the Pain Research Center, and is an attending physician in the Pain Management Center. Currently, he serves on the Board of Directors and is Immediate Past President of the American Academy of Pain Medicine, and represents the Academy on the Steering Committee of the Pain Care Coalition, Washington, DC, USA. He also serves on the Clinical Models Committee of the Coalition to Transform Advanced Care (C-TAC). Dr Fine is the External Strategic Advisor for Capital Caring, Washington, DC, developing sustainable models of advanced illness coordinated care in community settings, as an integrative component of comprehensive advanced illness care. Since 2003, he has chaired the National Initiative on Pain Control, a broad-reaching pain improvement project of the American Pain Foundation. Dr Fine is widely published in the fields of pain management and end-of-life care. He serves on several scientific advisory boards and the editorial boards of several peer-reviewed medical journals, including Pain Medicine and the Journal of Pain and Symptom Management. As a medical avocation, he worked as a team physician for the University of Utah football team for 18 years and was a medical officer for the 2002 Winter Olympics in Salt Lake City. He is the recipient of the 2007 American Academy of Hospice and Palliative Medicine Distinguished Hospice Physician Award, and the 2008 American Pain Society John and Emma Bonica Public Service Award. He is the recipient of the American Academy of Pain Management's 2010 Head and Heart award and the 2011 Nyswander Award, presented at the annual Pain and Chemical Dependency meeting in New York City (NY, USA). In 2012, the Perry G Fine, MD Endowed Fund in Pain and Palliative Medicine was created at West Virginia University by Hospice Care Inc. to honor his contributions to the fields of pain and palliative care and ensure continuing education of health professionals in these essential domains.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".