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Record W3092580238 · doi:10.1016/j.eclinm.2020.100584

Tuberculosis and COVID-19 in Canada

2020· article· en· W3092580238 on OpenAlexaffabout
Richard Long, Malcolm King, Alexander Doroshenko, Courtney Heffernan

Bibliographic record

VenueEClinicalMedicine · 2020
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsMedicineTuberculosisContact tracingSocial distancePublic healthPopulationLimitingEnvironmental healthHealth careInfection controlCoronavirus disease 2019 (COVID-19)Family medicineEconomic growthNursingIntensive care medicineDisease

Abstract

fetched live from OpenAlex

Viewed from the perspective of tuberculosis (TB) programs and underserved communities across Canada, the response to COVID-19 has been both instructive and frustrating. Instructive, because without effective treatments or vaccines, the most successful COVID-19 containment responses have demanded the early and rigorous application of basic public health principles. These include timely surveillance, widespread testing, contact tracing and population-based infection control measures such as promoting physical distancing, working or studying remotely using on-line technologies, limiting social gathering outside of immediate households, emphasizing respiratory and hand hygiene and recommending or mandating wearing masks by members of the public.

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)0.005
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: none
Teacher disagreement score0.084
Threshold uncertainty score0.606

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0070.002
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.001

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 head0.095
GPT teacher head0.393
Teacher spread0.299 · 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

Citations11
Published2020
Admission routes2
Has abstractyes

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