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Record W4360592269 · doi:10.5114/pja.2023.125765

Participation of reactive oxygen species in the pathogenesisof atopic dermatitis, allergic rhinitis and asthma

2023· article· en· W4360592269 on OpenAlexaboutno aff
Magdalena Skalska, Paulina Kleniewska, Rafał Pawliczak

Bibliographic record

VenueAlergologia Polska - Polish Journal of Allergology · 2023
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsnot available
Fundersnot available
KeywordsAtopic dermatitisAsthmaPathogenesisMedicineAllergyReactive oxygen speciesImmunologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

Reactive oxygen species (ROS) are any usually highly reactive chemical compounds that contain an oxygen atom with an unpaired electron in their structure.In physiological conditions, they are involved in many metabolic reactions in the body, while they are also involved in the pathogenesis of diseases such as atopic dermatitis, allergic rhinitis and asthma.Excessive ROS and antioxidant barrier dysfunction cause oxidative stress, resulting in increased oxidative damage in cells, disruption of their proper functioning and induction of a chronic inflammatory process. Key woRdsatopic dermatitis, allergic rhinitis, asthma, reactive oxygen species.stReszczenie Reaktywne formy tlenu (RFT) to zwykle wysoce reaktywne związki chemiczne, które zawierają w swojej struk turze atom tlenu z niesparowanym elektronem.W warunkach fizjologicznych biorą udział w wielu reakcjach metabolicznych zachodzących w organizmie, ale uczestniczą także w patogenezie chorób, takich jak atopowe zapalenie skóry, alergiczny nieżyt nosa lub astma.Nadmierne wytwarzanie RFT i dysfunkcja bariery anty oksydacyjnej prowadzą do rozwoju stresu oksydacyjnego, co skutkuje zwiększeniem uszkodzeń oksydacyjnych w komórkach, zaburzeniem ich prawidłowego funkcjonowania oraz indukcją przewlekłego procesu zapalnego.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.008

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 head0.032
GPT teacher head0.286
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2023
Admission routes1
Has abstractyes

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