Prevalence of pathogenicity groups of<i>Leptosphaeria maculans</i>in western Canada and North Dakota, USA
Bibliographic record
Abstract
Blackleg, caused by Leptosphaeria maculans, is an economically important disease of canola (Brassica napus). Little is known about the current distribution of pathogenicity groups (PGs) of L. maculans in Canada and the United States. Four hundred and eighty-nine isolates of L. maculans or Leptosphaeria biglobosa from western Canada and North Dakota, United States, were placed in five PGs (PG-1 recognized as L. biglobosa since 2001, PG-2, PG-3, PG-4, and PGT) on the basis of a series of inoculations on canola cultivars ('Westar', 'Glacier', and 'Quinta'). Only PG-1 and PG-2 were observed in populations from a 1984 to 2001 collection. All five PGs were observed in populations collected between 2002 and 2004. New, more aggressive strains of L. maculans may pose a significant threat to the canola industry in Canada and the United States.
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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 | 0.000 | 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".