Grades/Classes of Hard Wheats Exported from North America
Bibliographic record
Abstract
The United States and Canada are the percent of the Canadian wheat crop. Since the principal competitors in the hard wheat distribution of wheat quality at the farm level market. Both countries are the dominant in the U.S. and Canada is similar and U.S. producers of Hard Red Spring Wheat [HRS in domestic millers generally purchase higher the United States and Canadian Western Red quality No. 1s and No. 2s, this leaves less No. Spring (CWRS) in Canada]; the United States 1 and No. 2 quality wheat that is available for is the dominant producer of Hard Red Winter export from the U.S. than from Canada. (HRW); and both countries are large producers of durum (Hard Amber Durum, HAD, in the Another major factor affecting the United States and Canadian Western Amber changes in grades of wheat purchased is the Durum, CWAD, in Canada). shift toward privatization of wheat imports Much of the past analysis and debate have a greater ability to evaluate the value of on demand and competition for wheat has higher quality and are more willing to pay focused on wheat classes. However, other premiums (and discounts) if that greater factors also impact trade in high quality (lower) quality enhances (reduces) their
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".