ANALYSIS OF TRANSNATIONAL CROP MONITORING SYSTEMS
Bibliographic record
Abstract
Canada Wheat: Lower Yield Potential due to Recent Dryness in the PrairiesUSDA forecasts Canada wheat production for marketing year (MY) 2023/24 at 35.0 million metric tons (mmt), down 5 percent from last month, but up 3 percent from last year and 12 percent above the 5-year average.Harvested area is estimated at 10.6 million hectares, unchanged from last month, but up 5 percent from last year and 9 percent above the 5-year average.Yield is forecast at 3.30 tons per hectare, down 5 percent from last month, slightly below last year, but 3 percent above the 5-year average. World Agricultural ProductionExpectations at the beginning of the season for above-average wheat yields have given way in recent weeks, as some areas of the Prairie region experienced drier conditions.Many areas in Alberta received little rainfall in the spring and early summer, and provincial crop condition ratings are reportedly behind their 5-year averages.Conversely, crop conditions in Saskatchewan and Manitoba are generally positive, according to provincial and industry reports, boosted by more adequate early-season rainfall.The likelihood of a repeat of the 2021 drought remains small, although there are some concerns.A comparison of NOAA Climate Prediction Center's Standardized Precipitation Indices (SPI) for the month of June reveals the presence of yield-reducing D3 and D4 drought conditions was farmore widespread at the end of June 2021 than it is this at the same time this year.And much of the Prairies continue to receive rainfall, including Alberta, where mid-June precipitation alleviated dryness in many areas.Yield expectations at this point of the season are best characterized as average, with the assumption of adequate rainfall throughout the remainder of the growing season.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".