MétaCan
Menu
Back to cohort
Record W2081394493 · doi:10.1056/nejmp068160

Marburg Hemorrhagic Fever — The Forgotten Cousin Strikes

2006· letter· en· W2081394493 on OpenAlexaff
Heinz Feldmann

Bibliographic record

VenueNew England Journal of Medicine · 2006
Typeletter
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsPublic Health Agency of Canada
Fundersnot available
KeywordsCousinMarburg virusOutbreakMedicineVirologyEbola virusHistoryArchaeology

Abstract

fetched live from OpenAlex

More than 30 years after the discovery of Marburg virus as the causative agent of an outbreak of severe viral hemorrhagic fever in Germany and the former Yugoslavia in 1967, the long-forgotten pathogen has struck twice in the recent past, leaving no doubt about its survival in nature or its pathogenic potential. The first strike came in 1998 (and lasted until 2000), when Marburg virus hit a gold-mining community in the northeastern region of the Democratic Republic of the Congo, as discussed by Bausch and colleagues in this issue of the Journal (pages 909–919). A second outbreak followed in northern . . .

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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.027
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0270.019
Insufficient payload (model declined to judge)0.0020.002

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 head0.029
GPT teacher head0.302
Teacher spread0.274 · 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 designCase report
Domainnot available
GenreCommentary

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

Citations32
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueNew England Journal of MedicineSame topicViral Infections and Outbreaks ResearchFrench-language works237,207