Agronomy of Durum Wheat\nProduction
Bibliographic record
Abstract
As the world’s population grows, agriculture faces thechallenge of ensuring that crop production satisfies theincreasing demand for food. Durum wheat (Triticum turgidumL.) is a major staple food, with world production in crop year 2009-10 estimated at 39 million tonnes (Agriculture and Agri- Food Canada 2009).Ensuring the security of supply of durum wheat, as well as of other staple crops, requires that production be optimized on each hectare planted. Crop yield potential is determined by theenvironmental constraints of the region of production, such as length of growing season, temperature regime, rainfall, and soil characteristics. The producer must apply agronomicpractices affecting cultivar selection, seeding date, depth and density of planting, tillage practices, crop rotation, control of weeds, diseases and pests, irrigation, and nutrient management to capture as much of the yield potential as possible, while supporting long-term environmental sustainability.[...]
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".