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Оценка эффективности и безопасности применения доксофиллина при постковидном респираторном синдроме у пациентов с продолжающимся и долгим ковидом

2022· article· ru· W4307410304 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInterConf · 2022
Typearticle
Languageru
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsNorthern Lipids (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

В данном исследовании изучалась эффективность и безопасность доксофиллина у пациентов с продолжающимся и долгим ковидом при развитии постковидного респираторного синдрома. В параллельном, нерандомизированном, перспективном, многоцентровом исследовании участвовали 157 пациентов(Тбилиси, Кутаиси, Зугдиди, Баку), длительность исследования составила 9 месяцев. Для оценки использовалась шкала тяжести кашля(Cough Evaluation Test), модифицированная шкала одышки MRC (Medical Research Council), спирометрические данные (FEV1 и FEV1/FVC (индекс Тиффно)). Было установлено, что доксофиллин достоверно снижает интенсивность кашля, уменьшает одышку и улучшает функцию легких.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.003
Research integrity0.0010.009
Insufficient payload (model declined to judge)0.0840.012

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 head0.035
GPT teacher head0.322
Teacher spread0.287 · 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