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Record W3176102022 · doi:10.1017/ice.2021.304

Low yield of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) asymptomatic routine screen testing, despite high community incidence

2021· article· en· W3176102022 on OpenAlexaff
Dylan Kain, Nathan M. Stall, Allison McGeer, Gerald A. Evans, Vanessa Allen, Jennie Johnstone

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsQueen's UniversitySinai Health SystemPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsAsymptomaticSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineIncidence (geometry)Coronavirus disease 2019 (COVID-19)Coronavirus2019-20 coronavirus outbreakVirologyVirusInternal medicineOutbreak

Abstract

fetched live from OpenAlex

To the Editor-Serial asymptomatic screen testing of staff with reverse-transcriptase polymerase chain reaction (RT-PCR) has been used in some jurisdictions as one strategy to help prevent severe acute respiratory coronavirus virus 2 (SARS-CoV-2) outbreaks in high-risk settings. 1 Results from other serially screened populations during periods of low community SARS-CoV-2 incidence demonstrated very low percent positivity (<0.5%) 2,3 ; the yield in settings with high SARS-CoV-2 community incidence is less well understood. We investigated the percent positivity of routine asymptomatic screen testing in nursing-home staff during periods of both low and high SARS-CoV-2 incidence.

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)0.002
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.082
GPT teacher head0.368
Teacher spread0.286 · 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 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

Citations6
Published2021
Admission routes1
Has abstractyes

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