Osetljivost različitih varijeteta palamide (Cirsium arvense (L.) Scop) na neke herbicide
Bibliographic record
Abstract
Knowing the biology of weeds and their biodiversity at different levels is essential to weed control. More or less expressed morphological differences between ecotypes within a species could be associated with the different responses of plants to the herbicides applied. This fact indicates that more data should be collected on the reaction of individual ecotypes to different herbicides as our understanding of variability has considerable practical value in terms of more efficient control, as well as for identifying the modes of resistance to herbicides in scientific research. We investigated the susceptibility of two varieties of Canada thistle, C. arvense var. arvense and C. arvense var. vestitum, to the following herbicides: 2,4-D-2EHE, bentasone + dichlorprop-P, mesotrione, and bentasone + MCPA.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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".