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Record W3010644350 · doi:10.3138/jammi.2020-01-13

Guidance on the use of antiviral agents for the 2019–2020 influenza season

2020· article· en· W3010644350 on OpenAlexaffvenue
Jesse Papenburg, Samira Mubareka, Upton Allen, Danuta M. Skowronski, H Grant Stiver, Fred Y. Aoki, Gerald A. Evans

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2020
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsQueen's UniversitySunnybrook Health Science CentreBC Centre for Disease ControlUniversity of British ColumbiaHospital for Sick ChildrenHealth Sciences CentreKingston Health Sciences CentreMcGill University Health CentreSickKids FoundationMontreal Children's HospitalUniversity of TorontoUniversity of Manitoba
Fundersnot available
KeywordsVirologyInfluenza vaccineInfluenza seasonMedicineLive attenuated influenza vaccineAntiviral treatmentVaccinationVirus

Abstract

fetched live from OpenAlex

Keywords: antiviral agents, influenza, influenza vaccine, low vaccine effectivenessMots-clés : antiviraux, faible efficacité des vaccins, influenza, vaccin contre l’influenza

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)0.013
metaresearch head score (Gemma)0.033
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: Review · Consensus signal: none
Teacher disagreement score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0050.002
Research integrity0.0190.012
Insufficient payload (model declined to judge)0.0130.008

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 head0.047
GPT teacher head0.316
Teacher spread0.269 · 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
GenreReview

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

Citations4
Published2020
Admission routes2
Has abstractyes

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Same venueJournal of the Association of Medical Microbiology and Infectious Disease CanadaSame topicInfluenza Virus Research StudiesFrench-language works237,207