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Record W122553762 · doi:10.1186/2047-2994-2-s1-p41

P041: Trends in antiviral use in hospitalized patients following the 2009 influenza pandemic in Canada

2013· article· en· W122553762 on OpenAlexaffabout
G Taylor, Richard Mitchell, Allison McGeer, Charles Frenette, Kathryn N. Suh, Alexander Wong, Kevin Katz, Krista M. Wilkinson, Barbara Amihod, Denise Gravel

Bibliographic record

VenueAntimicrobial Resistance and Infection Control · 2013
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsJewish General HospitalUniversity of OttawaMcGill UniversityUniversity of TorontoPublic Health Agency of CanadaUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsPandemicMedicineAntiviral treatmentMedical microbiologyPandemic influenzaCoronavirus disease 2019 (COVID-19)Influenza pandemicHuman mortality from H5N1Antiviral drugInfluenza A virusSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Antiviral therapyH1n1 pandemicOseltamivirYoung adult2019-20 coronavirus outbreakEmergency medicineVirologyVirusInternal medicineInfectious disease (medical specialty)OutbreakDisease

Abstract

fetched live from OpenAlex

Antiviral treatment is associated with reduced mortality, length of stay and improved clinical outcomes among patients hospitalized with 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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.289
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 teacher head, 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

Citations0
Published2013
Admission routes2
Has abstractyes

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