Sustaining organic matter in forest soils: What we have learned and what is left
Bibliographic record
Abstract
Abstract A concerted research effort over the last three decades has transformed our understanding of the processes through which soil organic matter (SOM) is formed. Although recalcitrant plant litter is important, especially for particulate organic matter, we now know that a large proportion of SOM, particularly the more persistent material associated with soil minerals, has been transformed by soil microorganisms. A major source of energy for these microorganisms is labile compounds that are exuded by plant roots and associated mycorrhizal fungi. Much of this exuded carbon (C) arises from surplus carbohydrates produced by plants growing under mild‐to‐moderate deficiencies of nitrogen, phosphorus, or water. Managing forests in a manner that sustain or enhance this flux of labile C from trees to soil would augment efforts to sequester more C in forest soils.
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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.010 | 0.018 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".