Bibliographic record
Abstract
Dear Colleagues: A short note wishing all of you a happy and prosperous new year. I hope last year served all of you well. This coming year promises to be an exciting year for both the Journal and the American Peptide Society. In addition to a host of original research papers, the Journal will be publishing several outstanding special issues. The first, a collection of papers dedicated to Bill DeGrado on the occasion of his 60th birthday and his contributions to peptide and protein science. Special symposiums were held in his honor at the ACS meeting and at UCSF last fall. The second issue stems from the Peptides and Proteins Molecules of Life symposium held in Paris. The workshop was organized by Anna Maria Papini (University of Cergy- Pontoise), Solange Lavielle (Université Pierre et Marie Curie), and William Lubell (Université de Montreal, Québec). This year the Society will be holding its 24th symposium in sunny Orlando Florida co-chaired by Ved Srivastava, GlaxoSmithKline and Andei Yudin, University of Toronto. The program is shaping up nicely with key-note lectures from Richard Lerner, Scripps and Robert Grubbs, Caltech. With additional contributions from both academia and industry, the six-day meeting should prove to be excellent. Other meetings being held this year that will certainly be of interest include the 11th Australian Peptide Conference in Kingscliff, NSW as well as the Pacifichem 2015 in Hawaii. Best regards, Joel Schneider
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 | 0.000 | 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 | 0.001 | 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".