Bibliographic record
Abstract
This article was originally published online on 14 February 2015 Contributing reviewers The editors of World Allergy Organization Journal would like to thank all of our reviewers who have contributed to the journal in Volume 7 (2014). Mona Al-Ahmad Kuwait Suleiman Al-Hammadi United Arab Emirates Maria Cristina Artesani Italy Amal Assa'ad United States of America Emel Aygören-Pürsün Germany Claus Bachert Belgium Leonard Bielory United States of America W.M. Blom Netherlands Matteo Bonini Italy Homer Boushey United States of America Malcolm Brinn Australia Wesley Burks United States of America Carlo Caffarelli Italy Moises A. Calderon United Kingdom Giorgio Walter Canonica Italy Yoon-Seok Chang South Korea Marco Cicardi Italy Philip Cooper Ecuador Emily Cope United States of America Alexessander Couto Alves United Kingdom Linda Cox United States of America Julian Crane New Zealand Ceyhun Dalkan Cyprus Martin Depner Germany Martin Desrosiers Canada Ratko Djukanovic United Kingdom Sten Dreborg Sweden Motohiro Ebisawa Japan Alison Elliott Uganda Ira Finegold United States of America Puccio Franca Venezuela Maia Gotua Georgia Robert G. Hamilton United States of America Holger Heine Germany Martin Himly Austria Stephen Holgate United Kingdom Rose Kamenwa Kenya Amy Kantar Italy Monroe King United States of America Pierluigi Koch Italy Hans-Jørgen Malling Denmark Alberto Martelli Italy Marcus Maurer Germany Jim McKenna United Kingdom Martin Metz Germany Harold Nelson United States of America Robyn O'Hehir Australia Ayse Bilge Ozturk Turkey Pierluigi Paggiaro Italy Oscar Palomares Spain Hae-Sim Park South Korea Paola Parronchi Italy Giovanni Passalacqua Italy Carlos Pastor Vargas Spain Diego Peroni Italy Jay Portnoy United States of America Lars K. Poulsen Denmark David Price United Kingdom Kaisa Pyrhönen Finland Nelson Rosario Brazil Hugh Sampson United States of America Mario Sanchez-Borges Venezuela Joaquin Sastre Spain Glenis Scadding United Kingdom Irma Schabussova Austria Nicola Scichilone Italy Gianenrico Senna Italy James Sublett United States of America Stanley Szefler United States of America Mimi Tang Australia Alberto Tedeschi Italy Michael Wechsler United States of America Christina West Sweden Andrew White United States of America Torsten Zuberbier Germany
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.282 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.186 | 0.110 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".