Bibliographic record
Abstract
Epilepsia is pleased to announce the winner of the 2012 Morris-Coole Epilepsia Prize—Mark R. Bower, Ph.D.—for the article “Spatiotemporal neuronal correlates of seizure generation in focal epilepsy” (Mark R. Bower, Matt Stead, Fredric B. Meyer, W. Richard Marsh, and Gregory A. Worrell, Epilepsia 53: 807–816, 2012). The research group is from the Mayo Clinic in Rochester, MN, U.S.A. The Morris-Coole Epilepsia Prize is supported by the International League Against Epilepsy (ILAE) and the Morris-Coole Trust. The Prize is awarded each year to the first author of a paper that presents high quality research (basic or clinical) with important implications for understanding and/or treating epilepsy-related phenomena. It is designed to encourage young scientists and/or clinicians to continue their work in epilepsy research. The Prize consists of $5,000 and a specially designed insignia pin. This year's Prizewinner will receive the award, and present a talk on his research, at the Awards Symposium of the 30th International Epilepsy Congress in Montreal on June 24, 2013. Selection of the Prizewinner starts with nominations from the Associate Editors of Epilepsia. From the set of nominated papers (full-length original research reports, published in a print issue of Epilepsia during 2012), a committee composed of the Co-Editors-in-Chief of Epilepsia and the President of ILAE chooses one study that the committee believes will have a particularly significant impact on the epilepsy field. Dr. Bower, the recipient of the 2012 (Epilepsia Volume 53) Prize, is Research Fellow in the Department of Neurology at Mayo Clinic, and a member of the Mayo Systems Electrophysiology Laboratory led by Drs. Matt Stead and Gregory A. Worrell. He received his Ph.D. in Neuroscience from the University of Arizona working with Dr. Bruce McNaughton on place cells and cognitive map formation in freely moving animals. His postdoctoral fellowship, with Dr. Paul Buckmaster at Stanford University, involved recording the activity of multiple single neurons prior to and during seizures in the pilocarpine model of epilepsy; he was awarded the Eric W. Lothman Fellowship by the Epilepsy Foundation for this work. At Mayo Clinic, Dr. Bower has helped translate the recording and analytical techniques developed in animal models to long-term, continuous recordings from patients undergoing treatment for epilepsy. His research centers on understanding how ongoing neuronal activity progresses into seizures, and on identifying robust biomarkers of impending seizures from the activity of multiple single neurons—with the goal of providing new therapies for patients with epilepsy.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.090 | 0.067 |
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".