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Record W2168608974 · doi:10.12927/hcpap.2007.19355

It's Not Just about the Mask

2007· letter· en· W2168608974 on OpenAlexaffvenue
H Roslyn Devlin, Samer Abou-Sweid, J. STEBBINS KING

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2007
Typeletter
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsComputer scienceArt

Abstract

fetched live from OpenAlex

Occupational health and infection prevention and control should utilize both the precautionary principal and the scientific literature to ensure staff safety during an Influenza Pandemic. The literature indicates that N95 respirators should be used whenever the mode of transmission is not clearly understood. However, focusing just on the type of respiratory protection while necessary is not sufficient. A multi-pronged approach to staff safety should be used when planning for an Influenza Pandemic. This includes the implementation of Routine Practices and Additional Precautions in all healthcare institutions, optimal hand hygiene, fit-tested N95 respirators for staff providing direct care to patients with a virus of unknown epidemiology or which is known to be transmitted by the airborne route, vaccination of all staff when an effective vaccine is available and chemoprophylaxis against Influenza A. Patients will be best cared for when workers believe that everything possible is being done to protect their health.

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)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.030
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0040.003
Scholarly communication0.0030.006
Open science0.0010.001
Research integrity0.0300.038
Insufficient payload (model declined to judge)0.0070.005

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 head0.072
GPT teacher head0.346
Teacher spread0.274 · 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 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

Citations1
Published2007
Admission routes2
Has abstractyes

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