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Record W3106971157 · doi:10.36584/cjic.2020.012

Case Report – Possible Manufacturing Workplace Transmission of COVID-19

2020· article· en· W3106971157 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Infection Control · 2020
Typearticle
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsWorkforceCoronavirus disease 2019 (COVID-19)Neighbourhood (mathematics)ApartmentCluster (spacecraft)Transmission (telecommunications)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)BusinessOperations managementEngineeringMedicineEconomic growthComputer scienceEconomicsCivil engineeringTelecommunicationsMathematics

Abstract

fetched live from OpenAlex

A COVID-19 cluster was identified in an industrial manufacturing workforce soon after being recalled to the workplace following a furlough period. All cases in the cluster (21/85) were male, worked on one side of the plant, and took breaks and lunch together. All non-cases worked on the opposite side of the plant and similarly took breaks and lunch together. Review of the timing of return from furlough determined that workplace transmission was possible. However, a high percentage of the cases lived in apartment settings where high neighbourhood incidence rates were observed, whereas that was not the case for non-cases. The investigation illustrates the difficulties of distinguishing potential occupational from community transmission.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.272
Teacher spread0.249 · 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