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Record W3101925386 · doi:10.1016/j.jaip.2020.11.011

Anti-PEG IgE in anaphylaxis associated with polyethylene glycol

2020· article· en· W3101925386 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Allergy and Clinical Immunology In Practice · 2020
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsUniversity of TorontoSt. Michael's HospitalHealth Sciences CentreSunnybrook Health Science Centre
FundersNational Institute of Allergy and Infectious DiseasesNational Institute of General Medical SciencesNational Human Genome Research InstituteGenentechAgency for Healthcare Research and QualityU.S. Food and Drug AdministrationNational Institutes of HealthPfizerLEO Pharma Research FoundationBioCrystAstraZenecaAimmune TherapeuticsCSL BehringFood and Drug AdministrationMerckGlaxoSmithKlineRegeneron PharmaceuticalsNovartis
KeywordsPolyethylene glycolAnaphylaxisPEGylationPEG ratioMedicineAllergyExcipientPharmacologyImmunoglobulin EAdverse effectActive ingredientImmunologyChemistryAntibodyBiochemistry

Abstract

fetched live from OpenAlex

Polyethylene glycol (PEG) has been used in a wide range of medical and pharmaceutical products as an active ingredient or excipient. In addition, an increasing number of PEG-modified (PEGylated) therapeutic proteins and drugs are being developed and approved for marketing.1 The covalent attachment of PEG to a drug or therapeutic protein increases hydrodynamic size and can increase half-life.

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.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.036
GPT teacher head0.346
Teacher spread0.310 · 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