Ultra Structures Assessment and Comparison of Allergenic Features of Mature and Immature Pollens of Quercus persica L.
Bibliographic record
Abstract
There are extensive Persian Oak forests in the west and south west of Iran. Since the pollens are one of the most plants allergenic factor, and 80 up to 90 percent of plant’s allergen is pollen based, therefore in the present study the allergenic features of Persian Oak’s mature and immature pollens were studied, using cello logy and anatomical methods. The pollen samples were fixed by FAA. SEM analysis showed spherical shaped pollen along with tricolpate and warty shape exine. Pollen’s extract achieved using salt phosphate buffer. Electrophoresis profile of proteins showed total 16 bands in the range of 16 to 116 Kd. Mature pollen also had one distinct 52 Kd band. Allergenic test using guinea pig (350-400 Kg and 4-6 old) carried out. The blood tests, based on the numbers of eosinophils, neutrophils and immunoglobulins content of sample and treatments showed significant differences to the control. The mature pollen extract also was more allergenic than that of immature.
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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 | 0.000 |
| 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".