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
This chapter examines the pros and cons of manure and peruses some of the challenges facing its utilization in farming practices. Manure adds nutrients mainly in the form of N and phosphorus (P) as well as K, in addition to a host of minor and trace elements. Manure improves soil physical properties such as water retention, aggregate stability, and infiltration. Nitrogen losses from manure in the form of ammonia begin as soon as it is excreted. Livestock manure applications that supply P in excess of crop requirements can increase soil P concentration and subsequently P loss to surface water. Protection of water resources adjacent to land receiving manure containing enteric microorganisms, veterinary pharmaceuticals, and hormones requires that these contaminants be killed, degraded, sequestered, or otherwise inactivated in the soil. The nutrients and organic matter in manure are beneficial to crop production by improving nutrient supply and soil quality when land applied.
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 | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.006 |
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