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Record W2040374582 · doi:10.1016/j.jaci.2010.09.017

The Consolidated Standards of Reporting Trials (CONSORT) Statement applied to allergen-specific immunotherapy with inhalant allergens: A Global Allergy and Asthma European Network (GA2LEN) article

2010· article· en· W2040374582 on OpenAlexaff
Philippe‐Jean Bousquet, Moisés A. Calderón, Pascal Demoly, Désirée Larenas‐Linnemann, Giovanni Passalacqua, Claus Bachert, Jan Brożek, Giorgio Walter Canonica, Thomas B. Casale, João Fonseca, Ronald Dahl, Stephen R. Durham, Hans Merk, Margitta Worm, U. Wahn, Torsten Zuberbier, Holger J. Schünemann, Jean Bousquet

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2010
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsMcMaster University
FundersEuropean Academy of Allergy and Clinical ImmunologySanofiGlaxoSmithKlineNational Institute for Health and Care ResearchTeva Pharmaceutical IndustriesAstraZenecaEuropean CommissionAllergy TherapeuticsPfizer
KeywordsIntoxicative inhalantAsthmaMedicineAllergyConsolidated Standards of Reporting TrialsAllergenImmunologyAllergic asthmaClinical trialToxicologyInternal medicineBiology

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)0.489
metaresearch head score (Gemma)0.623
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.511
Threshold uncertainty score0.630

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4890.623
Meta-epidemiology (narrow)0.0100.008
Meta-epidemiology (broad)0.0300.052
Bibliometrics0.0150.016
Science and technology studies0.0070.016
Scholarly communication0.0130.007
Open science0.0110.007
Research integrity0.0320.033
Insufficient payload (model declined to judge)0.0080.004

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 head0.039
GPT teacher head0.347
Teacher spread0.308 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
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

Citations51
Published2010
Admission routes1
Has abstractno

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