Increasing frequency of multiple herbicide-resistant kochia (<i>Bassia scoparia</i>) in Alberta
Bibliographic record
Abstract
Multiple herbicide-resistant kochia [ Bassia scoparia (L.) A.J. Scott] is a growing weed management concern for farmers in the Canadian prairies. A randomized–stratified survey of 319 sites in Alberta was conducted in 2021 to determine the frequency and incidence of glyphosate, fluroxypyr, and dicamba resistance in kochia samples four and nine years after the previous rounds of surveys. Kochia samples exhibiting resistance to glyphosate, fluroxypyr, and dicamba were found at 78%, 44%, and 28% of the sites, respectively. Triple herbicide-resistant kochia samples, resistant to acetolactate synthase inhibitors, glyphosate, and at least one synthetic auxin, were found at 45% of the sites.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".