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Record W2489724580 · doi:10.5539/jmbr.v6n1p44

Ultra Structures Assessment and Comparison of Allergenic Features of Mature and Immature Pollens of Quercus persica L.

2016· article· en· W2489724580 on OpenAlexvenueno aff
Roya Zand

Bibliographic record

VenueJournal of Molecular Biology Research · 2016
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsnot available
Fundersnot available
KeywordsPollenBotanyBiologyHorticulture

Abstract

fetched live from OpenAlex

<p class="1Body">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.</p>

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.416
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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