Index for Volume 99
Bibliographic record
Abstract
Acantholimon hedinii, Erysiphe limonii on, in China, 1038N Acer spp. A. buergerianum (trident maple), Trichothecium roseum on, in China, 1864N A. saccharum (sugar maple), Verticillium dahliae on, real-time PCR method for detection and monitoring of, 866 Aceria tosichella (wheat curl mite) impact of wheat streak mosaic virus and triticum mosaic virus coinfection of wheat on transmission rates by, 1170 on wheat, effects of soil nitrogen and atmospheric carbon dioxide on, 1803 Acevedo, M., 1604 Acibenzolar-S-methyl, resistance of mango against Ceratocystis fimbriata and, 447 Acidovorax citrulli, on watermelon, in Serbia, 886N Acremonium cucurbitacearum, on melon, in China, 1184N Acrostalagmus luteo-albus, on needle mushroom, in China, 158N Actinidia chinensis (kiwi) Botryosphaeria spp.on, in China,
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.901 | 0.896 |
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".