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Record W2753189065 · doi:10.1111/cea.12973

Applying prevention concepts to anaphylaxis: A call for worldwide availability of adrenaline auto‐injectors

2017· editorial· en· W2753189065 on OpenAlexaff
Luciana Kase Tanno, F. Estelle R. Simons, Mario Sánchez‐Borges, Victória Cardona, Hee‐Bom Moon, Moisés A. Calderón, Juan Carlos Sisul, Antonella Muraro, Thomas B. Casale, Pascal Demoly

Bibliographic record

VenueClinical & Experimental Allergy · 2017
Typeeditorial
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsUniversity of Manitoba
FundersAstraZeneca
KeywordsAnaphylaxisMedicineEpinephrineAllergyBusinessAnesthesiaImmunology

Abstract

fetched live from OpenAlex

Anaphylaxis: a public health issueAnaphylaxis is currently recognized as a severe, immediate systemic allergic or hypersensitivity reaction characterized by rapid onset and the potential to endanger life through respiratory and cardiovascular compromise. 1 Anaphylaxis can be considered a syndrome with a constellation of features and signs, not pathognomonic of only one disease.This multi-faceted condition can manifest at any age, and all healthcare professionals may be faced with it.All anaphylaxis guidelines 2-5 consistently highlight the possibility of death during an anaphylactic episode.

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 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)0.026
metaresearch head score (Gemma)0.062
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: Editorial · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.062
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.002
Science and technology studies0.0020.008
Scholarly communication0.0100.021
Open science0.0060.011
Research integrity0.0220.032
Insufficient payload (model declined to judge)0.0390.007

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 head0.066
GPT teacher head0.466
Teacher spread0.400 · 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
GenreEditorial

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

Citations45
Published2017
Admission routes1
Has abstractyes

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