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Record W4214643934 · doi:10.3138/jammi-2022-01-31

2021–2022 AMMI Canada guidance on the use of antiviral drugs for influenza in the COVID-19 pandemic setting in Canada

2022· article· en· W4214643934 on OpenAlexaffvenueabout
Fred Y. Aoki, Jesse Papenburg, Samira Mubareka, Upton Allen, Todd F. Hatchette, Gerald A. Evans

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2022
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsQueen's UniversityKingston Health Sciences CentreHospital for Sick ChildrenHealth Sciences CentreSunnybrook Health Science CentreMcGill University Health CentreDalhousie UniversitySickKids FoundationUniversity of TorontoMontreal Children's HospitalUniversity of Manitoba
Fundersnot available
KeywordsOseltamivirZanamivirPandemicMedicineNeuraminidase inhibitorGuidelineCoronavirus disease 2019 (COVID-19)VirologyDosingNeuraminidaseInfluenza seasonIntensive care medicineSeasonal influenzaSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Infectious disease (medical specialty)VirusDiseasePharmacologyInternal medicineInfluenza vaccinePathology

Abstract

fetched live from OpenAlex

We provide an update to the Association of Medical Microbiology and Infectious Disease Canada seasonal influenza foundation guideline on the use of antiviral drugs for influenza for the upcoming 2021-2022 influenza season in Canada. Peramivir and baloxavir marboxil were licensed in Canada in 2017 and 2020, respectively, but neither is currently marketed. Thus, this guidance continues to focus on further optimizing the use of oseltamivir and zanamivir. Important issues for this year include the implications of co-circulation of severe acute respiratory syndrome coronavirus 2 and influenza viruses; the role of diagnostic testing in relation to impact on patient management; and dosing and administration recommendations for neuraminidase inhibitors for various at-risk age groups.

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)0.015
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: none
Teacher disagreement score0.976
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
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)0.0240.007

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 head0.031
GPT teacher head0.313
Teacher spread0.282 · 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

Citations2
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueJournal of the Association of Medical Microbiology and Infectious Disease CanadaSame topicRespiratory viral infections researchFrench-language works237,207