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Record W2916610774 · doi:10.1016/j.jaci.2017.03.050

Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines—2016 revision

2017· article· en· W2916610774 on OpenAlexafffund
Jan Brożek, Jean Bousquet, Ioana Agache, Arnav Agarwal, Claus Bachert, Sinthia Bosnic‐Anticevich, Romina Brignardello‐Petersen, Giorgio Walter Canonica, Thomas B. Casale, Niels H. Chavannes, Jaime Correia de Sousa, Álvaro A. Cruz, Carlos A. Cuello‐García, Pascal Demoly, Mark S. Dykewicz, Itziar Etxeandia‐Ikobaltzeta, Iván D. Flórez, Wytske J. Fokkens, João Fonseca, Peter W. Hellings, Ludger Klimek, Sérgio Cândido Kowalski, Piotr Kuna, Kaja-Triin Laisaar, Désirée Larenas‐Linnemann, Karin C. Lødrup Carlsen, Peter J. Manning, Eli O. Meltzer, Joaquim Mullol, Antonella Muraro, Robyn E. O’Hehir, Ken Ohta, Petr Panzner, Nikolaos G. Papadopoulos, Hae‐Sim Park, Gianni Passalacqua, Ruby Pawankar, David Price, John J. Riva, Yetiani Roldán, Dermot Ryan, Behnam Sadeghirad, Bolesław Samoliński, Peter Schmid‐Grendelmeier, Aziz Sheikh, Alkis Togias, Antonio Valero, Arūnas Valiulis, Erkka Valovirta, Matthew Ventresca, Dana Wallace, Susan Waserman, Magnus Wickman, Wojtek Wiercioch, Juan José Yepes-Núñez, Luo Zhang, Yuan Zhang, Mihaela Zidarn, Torsten Zuberbier, Holger J. Schünemann

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2017
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsUniversity of TorontoMcMaster University
FundersUCB PharmaAllergopharmaEuropean Academy of Allergy and Clinical ImmunologyGlenmark PharmaceuticalsSanofiPfizerMcMaster UniversityRegeneron PharmaceuticalsTeva Pharmaceutical IndustriesAstraZeneca
KeywordsMedicineGuidelineGrading (engineering)AsthmaHealth careQuality of life (healthcare)Family medicinePopulationEvidence-based medicineEvidence-based practiceAlternative medicineIntensive care medicineNursingEnvironmental healthInternal medicinePathology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.013
metaresearch head score (Gemma)0.044
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: Methods · Consensus signal: none
Teacher disagreement score0.065
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.003
Research integrity0.0060.010
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 head0.061
GPT teacher head0.401
Teacher spread0.340 · 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
GenreMethods

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

Citations1,997
Published2017
Admission routes2
Has abstractno

Explore more

Same venueJournal of Allergy and Clinical ImmunologySame topicAllergic Rhinitis and SensitizationFrench-language works237,207