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Record W4235283361 · doi:10.1186/s13223-020-00435-z

Correction to: Protocol for a double-blind, randomized controlled trial on the dose-related efficacy of omalizumab in multi-food oral immunotherapy

2020· erratum· en· W4235283361 on OpenAlexaffvenue
Alexandra Langlois, Marie-Hélène Lavergne, H. Leroux, Kerstin Killer, Pauline Azzano, Louis Paradis, Kathryn Samaan, Jonathan Lacombe‐Barrios, Thomas Eiwegger, Julia Upton, Gordon L. Sussman, Thomas G. Poder, Benoı̂t Mâsse, Anne Des Roches, Philippe Bégin

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2020
Typeerratum
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsUniversité de MontréalInstitut Universitaire en Santé Mentale de QuébecHospital for Sick ChildrenSickKids FoundationUniversity of TorontoCentre Hospitalier de l’Université de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsOmalizumabOral immunotherapyProtocol (science)Double blindMedicineRandomized controlled trialImmunotherapyMedical physicsInformation retrievalPediatricsComputer scienceInternal medicineAlternative medicineImmunologyAntibodyImmunoglobulin EPathologyCancerPlacebo

Abstract

fetched live from OpenAlex

An amendment to this paper has been published and can be accessed via the original article.

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)0.028
metaresearch head score (Gemma)0.213
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.357
Threshold uncertainty score0.917

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.213
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.3570.067

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 head0.086
GPT teacher head0.418
Teacher spread0.332 · 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.

Study designRandomized trial
Domainnot available
GenreOther

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

Citations2
Published2020
Admission routes2
Has abstractyes

Explore more

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