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Record W3169230151 · doi:10.1002/clt2.12014

ARIA‐EAACI care pathways for allergen immunotherapy in respiratory allergy

2021· article· en· W3169230151 on OpenAlexaff
Jean Bousquet, Oliver Pfaar, Ioana Agache, Anna Bedbrook, Cezmi A. Akdiş, Giorgio Walter Canonica, Tomás Chivato, Mona Al‐Ahmad, Amir Hamzah Abdul Latiff, Ignacio J. Ansotegui, Claus Bachert, Baharuddin Abdullah, Karl‐Christian Bergmann, Carsten Bindslev‐Jensen, Leif Bjermer, Matteo Bonini, Sinthia Bosnic‐Anticevich, Isabelle Bossé, Helen A. Brough, Luisa Brussino, Moisés A. Calderón, Luis Caraballo, Victória Cardona, Pedro Martins, Thomas B. Casale, Lorenzo Cecchi, A. M. Cepeda Sarabia, Ekaterine Chkhartishvili, Derek K. Chu, Ieva Cīrule, Álvaro A. Cruz, Stefano Del Giacco, Pascal Demoly, Philippe Devillier, Dejan Dokic, Stephen L Durham, Motohiro Ebisawa, Yehia El‐Gamal, R. Emuzyte, Amiran Gamkrelidze, J.-L. Fauquert, Alessandro Fiocchi, Wytske J. Fokkens, João Fonseca, J.F. Fontaine, Radosław Gawlik, Aslı Gelincik, Bilun Gemicioğlu, José E. Gereda, Roy Gerth van Wijk, René Maximiliano Gómez, Maia Gotua, Ineta Grisle, Maria‐Antonieta Guzmán, Tari Haahtela, Susanne Halken, Enrico Heffler, Karin Hoffmann‐Sommergruber, Elham Hossny, M Hrubiško, Carla Irani, Juan Carlos Ivancevich, Zhanat Ispayeva, Kaja Julge, Ігор Петрович Кайдашев, Ömer Kalaycı, Musa Khaitov, Ludger Klimek, Edward F. Knol, Marek L. Kowalski, Helga Kraxner, Inger Kull, Piotr Kuna, Violeta Kvedarienė, Vicky Kritikos, Antti Lauerma, Susanne Lau, Daniel Laune, Michael Levin, D Larenas-Linnemann, Karin C. Lødrup Carlsen, Carlo Lombardi, Olga Lourenço, Bassam Mahboub, Hans‐Jørgen Malling, Patrick Manning, Gailen D. Marshall, Erik Melén, Eli O. Meltzer, Neven Miculinić, Branislava Milenković, Mostafa Moin, Stephen Montefort, Mário Morais‐Almeida, Charlotte G. Mørtz, Ralph Mösges, Joaquim Mullol, Leyla S. Namazova-Baranova, Hugo Neffen, K Nékám, Marek Niedoszytko, Mikaëla Odemyr, Robyn E. O’Hehir, Markus Ollert, Liam O’Mahony, Ken Ohta, Yoshitaka Okamoto, Kimi Okubo, Giovanni Battista Pajno, Óscar Palomares, Susanna Palkonen, Petr Panzner, Nikolaos G. Papadopoulos, Hae‐Sim Park, Giovanni Passalacqua, Vincenzo Patella, Ruby Pawankar, N. Pham‐Thi, Davor Plavec, Todor A. Popov, Marysia Recto, Frederico S. Regateiro, Carmen Riggioni, Graham Roberts, Monica Rodriguez‐Gonzales, Nelson Augusto Rosário Filho, Menachem Rottem, Philip W. Rouadi, Dermot Ryan, Bolesław Samoliński, Mario Sánchez‐Borges, Faradiba Sarquis Serpa, J. Sastre, Glenis K. Scadding, Mohamed H. Shamji, Peter Schmid‐Grendelmeier, Holger J. Schünemann, Aziz Sheikh, Nicola Scichilone, Juan Carlos Sisul, Mikhail Sofiev, Dirceu Solé, Talant Sooronbaev, Manuel E. Soto‐Martínez, Manuel Soto-Quirós, Milan Sova, Jürgen Schwarze, Isabel Skypala, Charlotte Suppli‐Ulrik, Luís Taborda‐Barata, Ana Todo‐Bom, Marı́a José Torres, Marylin Valentín-Rostán, Peter Valentin Tomazic, Antonio Valero, Sanna Toppila‐Salmi, Ioanna Tsiligianni, Eva Untersmayr, Marilyn Urrutia‐Pereira, Arūnas Valiulis, Erkka Valovirta, Olivier Vandenplas, Maria Teresa Ventura, Pakit Vichyanond, Martin Wagenmann, Dana Wallace, Jolanta Walusiak‐Skorupa, De Yun Wang, Susan Waserman, Gary Wong, Arzu Yorgancıoğlu, Osman Yusuf, Mario Zernotti, Luo Zhang, Mihaela Zidarn, Torsten Zuberbier, Marek Jutel

Bibliographic record

VenueClinical and Translational Allergy · 2021
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsMcMaster University Medical CentreMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsMedicineAllergen immunotherapyAsthmaAllergyGuidelineHouse dust miteAllergenImmunotherapyImmunologyIntensive care medicinePediatricsImmune system

Abstract

fetched live from OpenAlex

Allergen immunotherapy (AIT), the gradually increasing repeated administration of high doses of allergens to allergic patients, offers the potential for immune tolerance against reactions to the natural exposures to specific allergens. AIT may lead to the long-lasting remission of allergic symptoms and is the only disease-modifying intervention in IgE-mediated allergic respiratory diseases.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

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

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 head0.070
GPT teacher head0.336
Teacher spread0.266 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations57
Published2021
Admission routes1
Has abstractyes

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