Productivity of Renovated Naturalized Pastures in Atlantic Canada
Bibliographic record
Abstract
The main objective of this study was to evaluate the effectiveness and improved productivity of reduced tillage pasture renovation methods in the establishment of triple species pasture mixtures into an existing naturalized stand. Experimental treatments, 2 (low and high stocking rates) by 2 (frost- and sod-seeding methods) factorial with an additional non-renovated pasture control treatment, were arranged in a randomized complete block design with two replications. Despite the fact that high stocking rates resulted in reduced herbage yield, animal production per hectare was substantially improved in the establishment and the first postestablishment year. Sod-seeding was the most effective establishment method of introducing species and resulted in numerically higher total animal gain per hectare (gain/ha) than frost-seeding and control treatments. Frost-seeding had no effect on the establishment of introduced species and animal performance.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".