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Record W7082659191 · doi:10.51922/2074-5044.2025.2.50

Characteristics of sensibilization in patients with seasonal allergic rhinoconjunctivitis

2025· article· en· W7082659191 on OpenAlexaboutno aff

Bibliographic record

VenueMilitary Medicine · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsPollenHay feverEvergreenSensitizationThuja

Abstract

fetched live from OpenAlex

Frequency of visits of patients with pollinosis to the allergologist of the 6th City Clinical Hospital in Minsk showed that 49 % have sensitization to tree pollen, 66 % to grass pollen, 14 % to weed pollen. 29 % of patients have polysensitization to several groups of pollen allergens. An important part of the research on pollen allergens is to study new pollen allergens for the Republic of Belarus: canadian goldenrod, pellitory, thuja occidentalis, common juniper, ash-leaf maple, mountain pine, evergreen cypress. Four pollen seasons were identified in the pollen spectrum: spring (woody plants), springsummer (pine, juniper, thuja, cypress), summer (cereals), autumn-summer (weeds). A Belarussian pollen calendar in 2024 allows us to predict the frequency of exacerbations of hay fever, depending on the pollen concentration in the air.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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 designObservational
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

Citations1
Published2025
Admission routes1
Has abstractyes

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