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Record W2903457117 · doi:10.1164/rccm.201811-2106ed

Associations between Ozone and Fine Particulate Matter and Respiratory Illness Found to Vary between Children and Adults: Implications for U.S. Air Quality Policy

2018· letter· en· W2903457117 on OpenAlexaff
Paul English, John R. Balmes

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2018
Typeletter
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsDegranulationMedicineExocytosisImmunologyBiomarkerDiseaseIntensive care medicineInternal medicineBiology

Abstract

fetched live from OpenAlex

repeated measurements in the clinical setting.A noninvasive test of neutrophil exocytosis would be required before this biomarker could be translated to the clinical setting.Neutrophil exocytosis-specific inhibitors with antiinflammatory activity have been developed and tested in animal models (10).Could these small-molecule drugs have therapeutic potential in CF lung disease?Although this is an enticing prospect, our understanding of the process of neutrophil degranulation is still in its infancy; therefore, it is difficult to predict whether the neutrophil activation process would be an appropriate therapeutic target.If the major driver for enzyme release is cell death rather than exocytosis from live neutrophils, then pursuing the antiprotease shield mechanism would likely be a more successful approach.Ultimately, longitudinal studies directly assessing neutrophil degranulation will be required to determine exactly how NE and other neutrophilderived products damage the airways, to better define the best targets for antiinflammatory treatment in patients with CF.

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)0.013
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.047
GPT teacher head0.386
Teacher spread0.339 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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