Native and Seeded Pasture Using Bait Lamina
Bibliographic record
Abstract
manuscript, and thank Dr. Arthur Bailey for providing the long-term study area within which this study took place. Many native grasslands in the Aspen Parkland of western Canada have been converted to seeded forages. We used bait lamina to test the hypothesis that this change has altered soil biological activity. Bait lamina removal varied with both vegetation type and soil depth (p=0.03). Bait removal was 31 % in the shallow (0-5 cm) soil profile, and similar between native (32%) and seeded (30%) grassland. Although bait removal was lower at 5 to 10 cm depth (23%), removal in native grassland was greater (26%) than in adjacent seeded pasture (20%). As soils did not differ in organic matter or carbon between vegetation types, differences in removal are attributed to other unknown factors. Bait removal was positively associated with soil temperature (r ≥ 0.58) in both vegetation types, but negatively to soil moisture (r ≤-0.33). Overall, these results suggest replacement of native
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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 | 0.001 |
| 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) | 0.002 | 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".