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Record W3046639523 · doi:10.5114/pja.2019.91214

2019 ARIA – Care pathways for allergic rhinitis – Poland

2019· article· en· W3046639523 on OpenAlexaff
Bolesław Samoliński, Edyta Krzych‐Fałta, Barbara Piekarska, Agnieszka Lipiec, Piotr Kuna, Maciej Kupczyk, Marek Jutel, Marek Niedoszytko, Ewa Jassem, Marek L. Kowalski, Filip Raciborski, Claus Bachert, Peter W. Hellings, Oliver Pfaar, Holger J. Schünemann, Dana Wallace, Anna Bedbrook, Jean Bousquet

Bibliographic record

VenueAlergologia Polska - Polish Journal of Allergology · 2019
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsMcMaster University
FundersNational Institute for Health and Care Excellence
KeywordsMedicine

Abstract

fetched live from OpenAlex

Integrated health care plays a pivotal role in allergic diseases. It identifies key actions (based on guidelines) in the management of allergy patients that are transferred to the local level and implemented in clinical practice. It is particularly important for allergic rhinitis to develop a new generation of guidelines for pharmacotherapy and allergen immunotherapy. Allergen-specific immunotherapy is a parallel therapy that has a preventive (or prophylactic) character and not a method indicated for those who do not respond to pharmacotherapy.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.259
Teacher spread0.243 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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