Data for growing season nitrous oxide emissions from a Gray Luvisol as a function of long-term fertilization history and crop rotation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>A field study conducted over five&nbsp;growing seasons (2013-2017) assessed the effect of long-term fertilization history and crop rotation on growing season nitrous oxide (N<sub>2</sub>O) and carbon dioxide (CO<sub>2</sub>) emissions, wheat yield, wheat N uptake, N<sub>2</sub>O emission intensity and soil properties on Gray Luvisolic soils. Long-term fertility treatments included check, manure, NPKS, NPK and PKS fertilizers in two contrasting crop rotations: a 2-year of wheat (<i>Triticum aestivum</i> L.)-fallow (WF), and a 5-year wheat (<i>Triticum aestivum</i> L.)-oat (<i>Avena sativa</i>)-barely (<i>Hordeum vulgare</i> L.) - alfalfa (<i>Medicago sativa</i>)/brome (<i>Bromus tectorum</i>) hay (WOBHH). Rotation significantly affected cumulative growing season N<sub>2</sub>O emissions and, within each rotation, long-term fertilizer or manure N additions increased N<sub>2</sub>O emissions over the check. Average, cumulative growing season N<sub>2</sub>O emissions from the 5-year rotation were 1.29 kg N<sub>2</sub>O-N ha<sup>-1</sup>, significantly higher than the 0.58 kg N<sub>2</sub>O-N ha<sup>-1</sup> in the WF rotation, but N<sub>2</sub>O emission intensities were comparable between to the two rotations. Cumulative N<sub>2</sub>O emissions were positively correlated to total soil N (0-15 cm) and wheat N uptake, but N<sub>2</sub>O emission intensities were negatively correlated to total soil N.&nbsp;</p>
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it