Canadian recommendations for the prevention and treatment of malaria among international travellers--2009.
Bibliographic record
Abstract
Acroptilon repens is an herbaceous perennial that propagates by seeds and vegetative means. Its natural range extends from Turkey throughout Central Asia to China. A. repens is a major weed for grape, orchards and meadow area in Central of Turkey. Our objective was to determine density and expanding of A. repens patches in Central of Turkey. The patche experiments were conducted for an 6 undisturbed meadow in 2002-2003. Six of 1x1=1 m 2 plots were randomly selected in each patch (2 central (C), 2 middle (M) and 2 edge (E). Shoot density and height of A. repens were recorded at two different times (May and August) and also, fresh-dry weight and patch growth were recorded in August for each of the years from each plots The results of the 6 patches experiments for shoot height of A. repens in 2002 and 2003 ranged from 24.94 -31.33 cm and 19.31-25.41 cm plot -1 , respectively. In addition to this, the shoot density of A. repens in 2002 and 2003 ranged from 5.83-26.83 shoot plot -1 and 7.50-24.83 shoot plot -1 , respectively. The shoot density of A. repens was higher in central plot than the edge plot in 2002-2003. The patches of A. repens in Goreme1, Urgup 1, Urgup 3 and Urgup 4 in 2002-2003 were extended totaly 5, 16, 9 and 12 shoot plot -1 , 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.056 | 0.017 |
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".