Bibliographic record
Abstract
and soil productivity, 685 Agitation emissions from liquid dairy manure, 229 Agrichemical crack flow in Canadian soils, 129 Agroecosystem experiment, long-term soil organic carbon in Canada, 543 Alfalfa soil response to transplanted alfalfa, 523 Alkaline residuals paper mill and lime effects on soil P fractions, 467 Alkalinity saline sites supporting boreal mixedwood forests, 1 Ammonia emission emissions from liquid dairy manure, 229 Ammonium fertilisation azote´e du bleuet nain, 189 Anistropy anistropy of layered unsaturated soils, 319 Application timing effects of application timing and soil type on manure N fate, 55 Arbuscular mycorrhizal fungi glomalin in soilless pot culture, 567 Artificial neural model soil organic C distribution maps, 75 Ash, wood paper mill and lime effects on soil P fractions, 467 Atmospheric deposition Ca nutrition in a boreal shield forest, 267 Azote fertilisation azote´e du bleuet nain, 189
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.857 | 0.825 |
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; the direct Gemma label and the distilled Codex classifier 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".