MétaCan
Menu
Back to cohort
Record W4399067318 · doi:10.1016/j.chest.2024.04.023

Airway Mucus in Older People Without Chronic Respiratory Illness

2024· letter· en· W4399067318 on OpenAlexafffund
H.K. Kooner, Hana Serajeddini, Rachel L. Eddy, Cory Yamashita, Sarah Svenningsen, Grace Párraga

Bibliographic record

VenueCHEST Journal · 2024
Typeletter
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsSt Joseph's Health CareMcMaster UniversitySt. Paul's HospitalSt. Joseph’s Healthcare HamiltonUniversity of British ColumbiaWestern UniversityRobarts Clinical Trials
FundersReseau canadien de recherche respiratoireNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsMichael Smith Health Research BC
KeywordsMucusAirwayRespiratory systemMedicineRespiratory illnessIntensive care medicineInternal medicineBiologyAnesthesia

Abstract

fetched live from OpenAlex

In the normal, healthy lung, airway mucus coats the inner lining of the tracheobronchial tree and traps debris to facilitate its removal. When mucus is unusually viscous and/or if ciliary clearance is impaired, airway occlusion and obstruction can occur. Chest CT scanning provides an effort-independent and noninvasive way to visualize and quantify airway mucus plugs.1,2 In severe asthma, CT scan-visible airway mucus occlusions have been shown to be heterogenous in size and shape, which are classified as short and “stubby” or long and “stringy,”2 and are associated with airflow obstruction,1,3,4 quality of life,4 disease severity,4 and ventilation defects.

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)0.001
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.033
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0330.013
Insufficient payload (model declined to judge)0.0100.003

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 head0.015
GPT teacher head0.280
Teacher spread0.265 · 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 designObservational
Domainnot available
GenreCommentary

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
Published2024
Admission routes2
Has abstractno

Explore more

Same venueCHEST JournalSame topicAsthma and respiratory diseasesFrench-language works237,207