MétaCan
Menu
Back to cohort
Record W2247636159 · doi:10.1128/mbio.01154-15

Correction for Osterholm et al., Transmission of Ebola Viruses: What We Know and What We Do Not Know

2015· erratum· en· W2247636159 on OpenAlexaff
Michael T. Osterholm, Kristine A. Moore, Nicholas S. Kelley, Lisa M. Brosseau, Gary Wong, Frederick A. Murphy, C. J. Peters, James W. LeDuc, Phillip K. Russell, Michel Van Herp, Jimmy Kapetshi, Jean-Jacques Muyembe, Benoît Kebela Ilunga, James E. Strong, Allen Grolla, Anja Wolz, Brima Kargbo, David K. Kargbo, David Avram Sanders, Gary Wong

Bibliographic record

VenuemBio · 2015
Typeerratum
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsPublic Health Agency of Canada
Fundersnot available
KeywordsNeed to knowVirologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Transmission (telecommunications)Ebola virus2019-20 coronavirus outbreakInfectious disease (medical specialty)Computer scienceMedicineOutbreakDiseaseComputer security

Abstract

fetched live from OpenAlex

Volume 6, no. 2, doi: 10.1128/mBio.00137-15, 2015. An author has been removed from the byline. The revised byline should appear as shown above. The following statement should be …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.050
GPT teacher head0.365
Teacher spread0.314 · 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.

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

Citations23
Published2015
Admission routes1
Has abstractyes

Explore more

Same venuemBioSame topicViral Infections and Outbreaks ResearchFrench-language works237,207