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Record W2036176399 · doi:10.3201/eid1009.040170

Toronto Emergency Medical Services and SARS

2004· letter· en· W2036176399 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEmerging infectious diseases · 2004
Typeletter
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsNorth York General HospitalMcGill UniversityHealth Sciences CentreAssociated Medical Services
Fundersnot available
KeywordsOutbreakMedicineChristian ministryChinaCoronavirus disease 2019 (COVID-19)Medical emergencyEmergency medicineQuarantineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)GeographyVirologyInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

To the Editor: The first appearance of severe acute respiratory syndrome (SARS) in China in November 2002 led to a worldwide epidemic by March 2003. On February 21, 2003, an index case of SARS, which led to 224 cases and 38 deaths, was diagnosed in Toronto. On March 14, four cases of atypical pneumonia in Toronto were epidemiologically linked to the SARS outbreak in China. On March 26, the Ontario Ministry of Health declared a provincewide medical state of emergency, which was lifted on May 17 when the SARS outbreak was thought to be over. However, 7 days later, several more cases of SARS were discovered in four Toronto hospitals, which caused a resurgence of the intensive precautionary measures throughout the healthcare sector. When the state of emergency was lifted on July 2, 2003, a total of 224 people in Toronto had been officially diagnosed with SARS, and 38 had died.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.246
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.019
GPT teacher head0.370
Teacher spread0.352 · 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