Plant residue and cropping system effects on N dynamics in a Gray Luvisolic soil
Bibliographic record
Abstract
Soil samples from differing cropping systems were amended with 15N-labeled plant residues having varying carbon to nitrogen (C:N) ratios to quantify N dynamics in a Gray Luvisolic soil. For non-amended cropping systems a significantly greater amount of total N was mineralized from the continuous legume (CL) than from the continuous grass (CG), barley/forage (BF) rotations, or continuous barley (CB) cropping systems. The addition of the fababean (Vicia faba L.) plant residue resulted in net N mineralization from most of the cropping systems. After 20 wk, 14.0%, 10.5% and 7.1% of the 15N was mineralized from fababean, barley (Hordeum vulgare L.) and fescue (Festuca rubra L.) amended residues, respectively, when averaged across cropping systems. Key words: Crop residues, cropping systems, Gray Luvisol, N mineralization, 15N, soil amendments
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".