Green manure species respond differently to blade rolling
Bibliographic record
Abstract
Vaisman, I., Entz, M. H., Bamford, K. C. and Cushon, I. 2014. Green manure species respond differently to blade rolling. Can. J. Plant Sci. 94: 1507–1511. Reducing tillage in green manure (GM) management has led to interest in using the blade roller in organic agriculture. This study investigated the interaction effect of GM termination method (blade rolling and conventional tillage) and GM species choice [chickling vetch (Lathyrus sativus L.), Indian Head lentil (Lens culinaris), and hairy vetch (Vicia villosa Roth)] on a subsequent crop of hard red spring wheat (Triticum aestivum L.). Significant effects on weed density and biomass, wheat biomass, and wheat yield indicated that the GM species were affected differently by termination methods. It was also discovered that spring-seeded hairy vetch continues to grow after rolling, while chickling vetch and lentil die.
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 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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".