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Record W3113245644 · doi:10.3138/jammi-2020-11-02

2020–2021 AMMI Canada guidance on the use of antiviral drugs for influenza in the setting of co-circulation of seasonal influenza and SARS-CoV-2 viruses in Canada

2020· article· en· W3113245644 on OpenAlexaffvenueabout
Samira Mubareka, Fred Y. Aoki, Upton Allen, Todd F. Hatchette, Jesse Papenburg, Gerald A. Evans

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2020
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsNova Scotia Health AuthorityHospital for Sick ChildrenHealth Sciences CentreDalhousie UniversitySickKids FoundationUniversity of TorontoMontreal Children's HospitalUniversity of ManitobaMcGill University Health CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsVirologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Seasonal influenzaCoronavirus disease 2019 (COVID-19)Circulation (fluid dynamics)2019-20 coronavirus outbreakMedicineInfluenza A virus subtype H5N1VirusInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

We provide an update to the Association of Medical Microbiology and Infectious Disease Canada foundation guidance for the upcoming 2020-2021 influenza season in Canada. Important issues for this year include the implications of co-circulation of SARS-CoV-2, the role of diagnostic testing, and a restatement of dosing and administration recommendations for neuraminidase inhibitors in various age groups and underlying health conditions. Although peramivir and baloxivir are now licensed in Canada, neither is currently marketed, so this guidance focuses on further optimizing the use of oseltamivir and zanamivir.

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)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.078
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0270.009

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 head0.032
GPT teacher head0.312
Teacher spread0.280 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2020
Admission routes3
Has abstractyes

Explore more

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