Bibliographic record
Abstract
Mountain View, California Disclosures: R.N. Khurana serves as a consultant for Allergan, Inc., Aerie Pharmaceuticals, Alkahest, Apellis, Bausch & Lomb, Inc., Genentech, Inc., Merck Sharp & Dohme Corp., and Regeneron; and has grant support from Alimera, Apellis, Chengdu Kanghong, Clearside Biomedical, Greybug, REGENXBIO, Roche Innovatis AG, and Santen, Inc., all outside the submitted work. D.S. Grover is a speaker for Aerie Pharmaceuticals, Nova Eye Medical, and Surgical Specialties; a consultant and speaker for and receives research support from, Allergan, Inc.; a consultant and speaker for New World Medical, Inc., and Reichert Technologies; a consultant for Santen, Inc.; a consultant for and has minority equity in Olleyes; and is on the medical advisory board of MicroOptx and Sanoculis. R.L. Fellman has no disclosures.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.003 |
| 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".