Rapid Wilting with a Large Scale Forage Mat Maker
Bibliographic record
Abstract
Forage mat making is a process that combines 4 operations in a single machine: mowing the fresh crop, maceration with grinding rolls, compression of the mashed forage into a thin mat and deposition on the stubble for natural air drying. A large-1cale forage mat maker was recently built by our research group in Canada. It incorporates a 2.1 m wide mower, 8 seraced rolls 1.5 m wide and a belt press system' producing a continuous mat 1.2 m wide. The prototype was used to · evaluate wilting of lucerne in field conditions. Matted lucerne initially at 81 % moisture reached 60% moisture after 5 h and 20% moisture after 26-29 h of field wilting. In comparison, conditioned windrows required 24 h to reach 60% moisture and 55 h to reach 20% moisture. Mat making has the potential to reduce haymaking time by at least l day and eliminate most windrow manipulations such as tedding, inversion and raking.
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 | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".