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Record W3180303323 · doi:10.1016/j.ijid.2021.06.064

International Journal of Infectious Diseases: from the past quarter-century to the next

2021· editorial· en· W3180303323 on OpenAlexaboutno aff
Eskild Petersen, S S Lee, Lucille Blumberg, Laura D. Kramer, Christina W. Obiero, Seif Al-Abri, Aisha Abubakar, Tatiana Castro Abreu Pinto, B.R. Yapi, Paul Anantharajah Tambyah, Alison Holmes

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2021
Typeeditorial
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsnot available
FundersNational Institute for Health and Care ResearchWellcome Trust
KeywordsPublishingScopusLibrary scienceQuarter (Canadian coin)Political scienceScientific publishingPublicationOpen access journalMedicineMEDLINEHistoryLawComputer science

Abstract

fetched live from OpenAlex

The International Journal of Infectious Diseases (IJID) was inaugurated in July 1996, 25 years ago today. In the opening editorial, Dr Donald Armstrong*, then Editor-in-chief, explained that the journal's mission was to “….communicate and disseminate new and reviewed information on infectious diseases to researchers and clinicians throughout the world….; provide information relevant to the epidemiology, clinical evaluation, diagnosis, treatment, public health and control of infections, with special emphasis on those diseases most prevalent in less-developed countries.”[1] IJID has continued to stand by the same mission that guides the Journal's development.

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)0.008
metaresearch head score (Gemma)0.027
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: Editorial · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.007
Science and technology studies0.0030.005
Scholarly communication0.0200.014
Open science0.0020.005
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0220.011

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 head0.009
GPT teacher head0.300
Teacher spread0.291 · 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
GenreEditorial

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
Published2021
Admission routes1
Has abstractyes

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