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Record W4224285807 · doi:10.21203/rs.3.rs-1555382/v1

vACcine COnfidence amongst those living with alleRgy during the coviD pandemic (ACCORD): a scoping review protocol

2022· review· en· W4224285807 on OpenAlexafffund
Michael A. Golding, Nicole Askin, Ayel Luis R. Batac, Kaitlyn A. Merrill, Elissa M Abams, Philippe Bégin, Moshe Ben-Shosan, Erika Ladouceur, Leslie E. Roos, Vladan Protudjer, Jennifer L. P. Protudjer

Bibliographic record

VenueResearch Square · 2022
Typereview
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsMcGill UniversityUniversité de MontréalUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
FundersCanadian Institutes of Health ResearchFood Allergy CanadaBausch HealthRegeneron Pharmaceuticals
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Protocol (science)2019-20 coronavirus outbreakMedicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)AllergyVirologyEnvironmental healthImmunologyAlternative medicineDiseaseInfectious disease (medical specialty)OutbreakPathology

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)0.063
metaresearch head score (Gemma)0.084
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: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.063
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0630.084
Meta-epidemiology (narrow)0.0030.005
Meta-epidemiology (broad)0.0100.017
Bibliometrics0.0130.009
Science and technology studies0.0040.003
Scholarly communication0.0060.005
Open science0.0040.007
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0480.007

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 head0.164
GPT teacher head0.501
Teacher spread0.337 · 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
GenreProtocol

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
Published2022
Admission routes2
Has abstractno

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