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Record W4378953136 · doi:10.1097/qco.0000000000000930

Respiratory protection: what SARS-CoV-2 has taught us

2023· review· en· W4378953136 on OpenAlexaff
Mark Loeb

Bibliographic record

VenueCurrent Opinion in Infectious Diseases · 2023
Typereview
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsMcMaster UniversityImpact
Fundersnot available
KeywordsMedicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakVirologyBetacoronavirusCoronavirus InfectionsSars virusPandemicIntensive care medicineInfectious disease (medical specialty)PathologyOutbreakDisease

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This review summarizes the epidemiological evidence for respiratory personal protective equipment for SARA-CoV-2, a topic of considerable controversy. RECENT FINDINGS: The main findings are that the observational studies and non-coronavirus disease 2019 (COVID-19) randomized trials do not provide clear evidence that the N95 respirators offer superior protection over surgical masks. A randomized controlled trial on COVID-19 provides evidence that the absolute risk to healthcare workers over time using surgical masks is similar to N95 respirators. SUMMARY: The implications of the findings are that surgical masks and N95 respirators can be considered for respiratory protection in healthcare workers.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.928
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.240
GPT teacher head0.431
Teacher spread0.191 · 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
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

Citations1
Published2023
Admission routes1
Has abstractyes

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