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Record W2884877134 · doi:10.1164/rccm.201805-0823le

Face Masks Reduce the Release of <i>Pseudomonas aeruginosa</i> Cough Aerosols When Worn for Clinically Relevant Periods

2018· letter· en· W2884877134 on OpenAlexfundno aff
Rebecca E. Stockwell, Michelle Wood, Congrong He, Laura J. Sherrard, E Ballard, Timothy J. Kidd, Graham Johnson, Luke D. Knibbs, Lídia Morawska, Scott C. Bell

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2018
Typeletter
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsnot available
FundersAdvance QueenslandCystic Fibrosis Foundation TherapeuticsMedical Research CouncilPrince Charles Hospital FoundationNational Health and Medical Research CouncilQueen's UniversityQueen's University Belfast
KeywordsMedicinePseudomonas aeruginosaFace masksCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Intensive care medicine2019-20 coronavirus outbreakMicrobiologyBacteriaVirologyInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.563
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.033
GPT teacher head0.347
Teacher spread0.314 · 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.

Study designNot applicable
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

Citations36
Published2018
Admission routes1
Has abstractno

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