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Record W3011217701 · doi:10.1503/cmaj.75015

Lack of COVID-19 transmission on an international flight

2020· letter· en· W3011217701 on OpenAlex
Kevin L. Schwartz, Michelle Murti, Michael Finkelstein, Jerome A. Leis, Alanna Fitzgerald-Husek, Laura Bourns, Hamidah Meghani, Andrea Saunders, Vanessa Allen, Barbara Yaffe

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Medical Association Journal · 2020
Typeletter
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsMinistry of Health and Long Term CareHalTechToronto Public HealthSunnybrook HospitalPublic Health Ontario
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Transparency (behavior)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CoronavirusPublic healthTransmission (telecommunications)PandemicCoronavirus InfectionsBetacoronavirusPolitical scienceKey (lock)VirologyMedicineDiseaseInfectious disease (medical specialty)TelecommunicationsComputer scienceComputer securityLawOutbreakNursing

Abstract

fetched live from OpenAlex

In response to the CMAJ news article, “Communication, transparency key as Canada faces new coronavirus threat,”[1][1] we would like to share the public health response to the first Canadian cases of coronavirus disease 2019 (COVID-19). Case details have been published.[2][2] The patients

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.017
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.008
Insufficient payload (model declined to judge)0.0170.000

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 head0.043
GPT teacher head0.351
Teacher spread0.308 · 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