2023 AOS Early Professional Awards to Glaucia Del-Rio, Carrie Branch, and Sara Lipshutz
Bibliographic record
Abstract
Journal Article 2023 AOS Early Professional Awards to Glaucia Del-Rio, Carrie Branch, and Sara Lipshutz Get access Christopher C Witt, Christopher C Witt Museum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, New Mexico, USA Corresponding author: cwitt@unm.edu Search for other works by this author on: Oxford Academic Google Scholar Elizabeth A Gow, Elizabeth A Gow University of Saskatchewan, Saskatoon, Saskatchewan, Canada https://orcid.org/0000-0001-8890-4503 Search for other works by this author on: Oxford Academic Google Scholar Pete A Hosner, Pete A Hosner Natural History Museum of Denmark & Center for Macroecology, Evolution, and Climate, Copenhagen University, Copenhagen, Denmark Search for other works by this author on: Oxford Academic Google Scholar Daniel T Baldassarre, Daniel T Baldassarre Department of Biological Sciences, SUNY Oswego, Oswego, New York, USA https://orcid.org/0000-0002-1749-548X Search for other works by this author on: Oxford Academic Google Scholar Kristen M Covino, Kristen M Covino Biology Department, Loyola Marymount University, Los Angeles, California, USA https://orcid.org/0000-0002-3891-0662 Search for other works by this author on: Oxford Academic Google Scholar Mary Caswell Stoddard Mary Caswell Stoddard Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA https://orcid.org/0000-0001-8264-3170 Search for other works by this author on: Oxford Academic Google Scholar Ornithological Applications, Volume 125, Issue 4, 6 November 2023, duad040, https://doi.org/10.1093/ornithapp/duad040 Published: 09 September 2023
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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 | 0.001 |
| 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) | 0.022 | 0.018 |
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; both teacher heads agree on what is shown here.
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".