Determination of main weed species, their distributions and densities in wheat growing areas of Erzincan-Otlukbeli County
Bibliographic record
Abstract
This study was carried out to determine the main weed species, their distributions and densities in wheat growing areas of Erzincan-Otlukbeli county in 2006. In this areas, there was no herbicides application in wheat so that wheat growers did not have any equepments for chemical control of weeds. This is a case study which was done in a small microclimate areas in where no chemical control was used against weed species. Based on the results of surveys, which were done in 36 wheat fields by using devided sampling methods, 51 different weed species belinging to the 20 families were determined. In survey area, main weed species were as follows; Caucalis platycarpos L. (small bur parsley), Secale cereale L. (rye), Centaurea deprassa Bieb. (dark blue bottle), Cirsium arvense (L.) Scop. (canada thistle), Melampyrum arvense L. (puple cow wheat), Agrostemma githago L. (corn corkle), Polygonum aviculare L. (prostrate knotweed), Convolvulus arvensis L. (field bindweed), Vaccaria pyramıdata Medik. (cow corkle), Bromus sterilis L. (barren brome). Additionaly C. deprassa, C. platycarpos, A. githago, M. arvense, S. cereale, C. arvense, C. arvensis, P. aviculare, Papaver rhoeas L. (corn pappy), C. orientalis were the most frequently observed weed species respectively.
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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 | 0.001 |
| 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) | 0.001 | 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 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".