Harvesting natural willow rings with a bio-baler around Saskatchewan prairie marshes
Bibliographic record
Abstract
Several grass and woody crops grow naturally around potholes, marshes and sloughs across the Canadian Prairies. Thisvegetation serves as a valuable habitat for wildlife, but canbecome invasive on agricultural land and a source of wild fires.This paper presents an innovative harvesting method that canrejuvenate the vegetation, while providing a useful biomass. Theprototype, based on a modified round baler and called a €˜€˜biobaler'',was used in Saskatchewan to harvest natural willowrings around marshes. It cut, shredded and baled the woodycrop in a single pass. Harvestrat es averaged 3.5 and 6.6t/h [fresh weight (FW)] on two sites of different brush density[11 and 43 t/ha of dry matter (DM), respectively]. Round baleswere typically 1.22 m wide by 1.35 m diameter they weighed onaverage 251 and 347 kg F at each site (density of 144 and 199kg FW/m3). Moisture content of harvested crop averaged 41%. The bio-baler recovered 62% of biomass (7 and 27 tDM/ha,respectively). The technology could be used to manage naturallygrowing woody shrubs, while collecting a currently neglected source of biomass.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".