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Record W2078218674 · doi:10.1136/oem.2008.043927

Do you come to work with a respiratory tract infection?

2009· letter· en· W2078218674 on OpenAlexaffabout
Patrick Gudgeon, Deane Wells, Mark O. Baerlocher, Allan S. Detsky

Bibliographic record

VenueOccupational and Environmental Medicine · 2009
Typeletter
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversity Health NetworkMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsRespiratory tractRespiratory systemRespiratory tract infectionsMedicineWork (physics)Intensive care medicineInternal medicineEngineering

Abstract

fetched live from OpenAlex

In caring for their patients, physicians strive to uphold the fundamental principle of medicine: primum non nocere – first do no harm. However, previous studies have reported that more than 80% of physicians come to work when they are ill.1–4 Numerous infections can be transmitted nosocomially, with some of the most common being the respiratory tract infections (RTIs).5 6 To explore this phenomenon, we created and sent three versions of an online survey to third year medical students, internal medicine and surgical residents, and staff physicians from the University of Toronto between June and August 2006. The questionnaire explored the frequency of working with an RTI and the factors that influenced this behaviour. The response rates for medical students, residents and staff physicians were 149/202 (73.8%), 317/650 (48.9%) and 202/350 (57.7%), respectively. The vast majority of respondents were ill for 1–2 days or more. Linear regression showed that when compared with residents, staff physicians reported an average of 0.9 fewer days with an RTI (p = 0.001) and students …

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), Research integrity, Insufficient payload (model declined to judge)
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 score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.056
GPT teacher head0.389
Teacher spread0.333 · 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

Citations35
Published2009
Admission routes2
Has abstractyes

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