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Record W2034358646 · doi:10.1183/09031936.00153208

Your 10,000 manuscripts

2008· article· en· W2034358646 on OpenAlexaff
Klaus F. Rabe, Peter Sterk

Bibliographic record

VenueEuropean Respiratory Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMandateHonourPleasurePolitical scienceService (business)Library scienceBusinessLawComputer sciencePsychologyMarketing

Abstract

fetched live from OpenAlex

After 6 years in office, we are finishing our mandate as Chief Editors of the European Respiratory Journal ( ERJ ). It has been a great honour and pleasure to serve the journal, the European Respiratory Society, and… you! Based on undergraduate management knowledge, we started with the mission: “rapid, reliable and responsive”. Has that been achieved? Well, regarding the central part of our mission, we have tried our utmost to guarantee the reliability of both the ERJ and the data published. Is the ERJ responsive? Over the years, we have stimulated the usage of the ERJ as a platform for debate on the latest issues in respiratory science, through editorials, perspective papers, and our correspondence section. We hope you liked it. And were we rapid? Our ERJ In Press service (http://erj.ersjournals.com/pap.dtl) has indeed increased the early access to accepted papers. But, to be honest, we believe that there is still some room for improvement with …

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.699
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.326
GPT teacher head0.428
Teacher spread0.103 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2008
Admission routes1
Has abstractyes

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