Bibliographic record
Abstract
The weed survey was conducted from Feburary 2016 to May 2016, in the fields of wheat crops of Charbagh Valley, district Swat.Information on 18 families and 34 species was collected with regard to their ecological characteristics, medicinal and other economic uses by the local inhabitants.The dominant families were Fabaceae and Poaceae represented by 5 species each, followed by Asteraceae with 4 species.Biological spectra expressed that therophytes were the major life form class with 31 species (91.176%) and geophytes had 3 species (8.8235%).Leaf size classification showed nanophyll with 11 species (32.35%) as the major size class followed by microphyll having 10 species (29.41%), mesophylls with 6 species (17.64%), and leptophyll with 5 species (14.70%), while macrophyll and megaphyll had single species each (2.941%).Weeds were used as vegetables, medicine, and for grazing animals as fodder.The present study was aimed to screen out the ecological aspects of weed flora in wheat crops of Charbagh.The recent work is the first report on the weeds' ecology of Charbagh Valley.This may help the future intensive and extinsive researches on weed diversity in the area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.899 | 0.868 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".