Comparison of harvest and export surveys of Canadian malting barley quality
Bibliographic record
Abstract
MacLeod, A. L., Langrell, D. E. and Edney, M. J. 2014. Comparison of harvest and export surveys of Canadian malting barley quality. Can. J. Plant Sci. 94: 587-592. The Canadian Grain Commission conducts an annual harvest survey to determine the quality of each year's malting barley crop. Throughout the year, quality testing is also performed on export shipments of malting barley as part of a quality monitoring program. The testing protocol includes barley quality parameters as well as micro-malting and malt quality analysis. In this study, results from the two surveys were compared over an 11-yr period. Overall, the harvest survey was a reliable predictor of the quality of barley exports. Barley quality was more closely correlated between the two surveys than malt quality. Several factors were identified which contributed to differences between the two survey programs.
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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 | 0.001 | 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) | 0.000 | 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".