Prendre soin des sols en production de pomme de terre au Canada – Partie 3 – Cultures-abri
Bibliographic record
Abstract
Caring for soil in potato production in Canada -Part 3 -Nurse CropsPotato is an important Canadian crop that is grown in every province.In the Maritimes, the sandy soils, wet climates, and sloping agricultural lands can increase the risk of soil erosion -especially during the three to five weeks that it takes for potato plants to emerge.Due to potato's shallow roots, the crop has to be planted in finely tilled soil, which is more susceptible to erosion.Cold and wet spring conditions can also delay sprouting of the potato plants for several weeks, and heavy spring rains can further increase the risk of soil erosion.Even after the potatoes emerge, the wide row spacing means that the soil remains partially bare for several weeks until the canopies of the rows come together (row closure).With this in mind, Agriculture and Agri-Food Canada (AAFC) scientists and their partners are finding ways to close the window of time that the soils remain bare and minimize the risk of erosion.
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 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 | 0.001 | 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 | 0.011 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.062 | 0.008 |
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".