Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Joy L. Hawkins, M.D., is Professor of Anesthesiology, Vice Chair for Education and Director of Obstetric Anesthesia, University of Colorado School of Medicine, Aurora.The ANESTHESIOLOGY® annual meeting provides many educational opportunities for ASA members and attendees. As a part of the meeting each year, FAER hosts a number of sessions that aim to inspire and prepare physician anesthesiologists to pursue new knowledge and advance patient care through anesthesiology, perioperative, health services and medical education research. The events recognize excellence in research and mentoring while serving to educate and advance the scientific talent in anesthesiology. If you are attending the ANESTHESIOLOGY® 2015 annual meeting in San Diego, I encourage you to check out any number of FAER’s or other scientific sessions that demonstrate the many avenues in which anesthesiologists are driving medical progress, and can continue to do so in the future. FAER Mentoring Excellence in Research Award: David S. Warner, M.D. The research mentors who develop and guide early career physician scientists ultimately shape the future of the specialty, medicine and patient care. Each year at the ANESTHESIOLOGY® annual meeting, the FAER Academy of Research Mentors in Anesthesiology presents its Mentoring Excellence in Research Award during the Celebration of Research. This honor acknowledges those who have not only dedicated their careers to scientific discovery but also have developed the careers of others who will do the same.David S. Warner, M.D.The recipient of the 2015 FAER Mentoring Excellence in Research Award is David S. Warner, M.D., Vice Chair of Research, Chief, Division of Basic Sciences, Distinguished Professor of Anesthesiology, Professor in Neurobiology and Professor of Surgery at Duke University School of Medicine in Durham, North Carolina. “Dr. Warner is an outstanding scientist who has published more than 250 peer-reviewed papers, a distinguished professor with appointments in three different departments at Duke (anesthesiology, surgery and neurobiology), and a skilled clinician who regularly provides top-notch care for patients,” said Miles Berger, M.D., Ph.D., Assistant Professor in Neuro-anesthesia at Duke University, who nominated Dr. Warner for the award. “Perhaps Dr. Warner’s greatest accomplishment, and his most lasting legacy, will be the nearly 80 post-doctoral trainees and students he has mentored over his nearly 40-year career as a physician scientist.” Dr. Warner’s trainees represent such academic institutions as Stanford University, University of Washington in Seattle, University of Colorado, Denver, Washington University in St. Louis, Yale University, University of Manitoba in Canada, Yamaguchi University in Japan and many more. He is an outstanding physician scientist whose mentorship has been supported by a National Institutes of Health training grant (NIH T32) for the past 19 years. “The driving force behind this nearly unsurpassed record of mentorship is Dr. Warner’s love of science, and his passion for mentoring young trainees,” Dr. Berger said. “When Dr. Warner discusses science, his eyes brighten, his mood livens and his passion for science becomes clear. This passion for science is matched by serious intellectual rigor – Dr. Warner pays close attention to ensuring that experiments are carefully controlled and properly blinded.” Please join us in congratulating Dr. Warner and recog-nizing his achievements during the Celebration of Research, Monday, October 26, 9:35-11:05 a.m. in room Upper 20D.FAER Helrich Research Lecture: “Can We Do Better? How Big Data Can Help” Since 2001, the FAER Helrich Research Lecture, formerly the FAER Honorary Research Lecture, has recognized outstanding scholarship by a scientist in an effort to encourage young physician anesthesiologists to consider careers in research and teaching.Laurent G. Glance, M.D.Next month in San Diego, Laurent G. Glance, M.D. will discuss big data and how it can help physician anesthesiologists improve health care delivery during the 15th annual FAER Helrich Research Lecture. Dr. Glance is Professor and Vice-Chair for Research in the Department of Anesthesiology, and Professor of Public Health Sciences at the University of Rochester School of Medicine in Rochester, New York. He is also a Senior Scientist (adjunct) at RAND Corporation. The goal of Dr. Glance’s lecture is to help gain a better understanding of how big data can help physician anesthesiologists and surgeons improve surgical outcomes. He will describe the drivers for health care reform and the shift from volume-based reimbursement to value-based purchasing. He will also discuss the role of quality measurement in driving quality improvement and realigning incentives to improve population health, as well as the role of big data in filling the holes in evidence-based medicine. Please join us at the FAER Helrich Research Lecture, Monday, Oct. 26, 1:10-2:10 p.m., in Hall H.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 0.002 |
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 it