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Record W3001208339 · doi:10.36584/cjic.2019.020

The effect of timing of oseltamivir chemoprophylaxis in controlling influenza B outbreaks in long-term care facilities in Manitoba, Canada, 2017-2018: A retrospective cohort study

2020· article· en· W3001208339 on OpenAlexaffvenueabout
Davinder Singh, Depeng Jiang, Paul Van Caeseele, Carla Loeppky

Bibliographic record

VenueCanadian Journal of Infection Control · 2020
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsOseltamivirChemoprophylaxisMedicineOutbreakRetrospective cohort studyOdds ratioOddsCohortCohort studyPediatricsInternal medicineEmergency medicineVirologyLogistic regressionCoronavirus disease 2019 (COVID-19)Disease

Abstract

fetched live from OpenAlex

A retrospective cohort study (n=8) was used to examine the effect of the timing of administration of oseltamivir chemoprophylaxis for the control of influenza B outbreaks among residents in long-term care facilities in Manitoba, Canada during the 2017-2018 influenza season. Delay of oseltamivir chemoprophylaxis was associated with increased odds of influenza-like illness in both univariate and multivariable analyses with an adjusted odds ratio of 1.34 (95% CI: 1.12-1.60) per day for influenza B.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.291
Teacher spread0.264 · 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
GenreEmpirical

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

Citations0
Published2020
Admission routes3
Has abstractyes

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