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Record W3016882079 · doi:10.1101/2020.04.15.20066407

Antibody testing for COVID-19: A report from the National COVID Scientific Advisory Panel

2020· preprint· en· W3016882079 on OpenAlexaff
Emily R. Adams, Mark Ainsworth, Rekha Anand, Monique Andersson, Kathryn Auckland, J. Kenneth Baillie, Eleanor Barnes, Sally Beer, John L. Bell, Tamsin Berry, Sagida Bibi, Miles W. Carroll, Senthil Chinnakannan, Elizabeth Clutterbuck, Richard J. Cornall, Derrick W. Crook, Thushan I. de Silva, Wanwisa Dejnirattisai, Kate E. Dingle, Christina Dold, Alexis Espinosa, David W. Eyre, Maria Fernandez Mendoza, Dominique Georgiou, Sarah Hoosdally, A Hunter, Katie Jeffrey, Paul Klenerman, Julian C. Knight, Clarice Knowles, Andrew Kwok, U Leuschner, Robert H. Levin, Chang Liu, César López‐Camacho, José C. Garrido, Philippa C. Matthews, Hannah McGivern, Alexander J. Mentzer, Jonathan Milton, Juthathip Mongkolsapaya, Shona C. Moore, Marta Oliveira, Fiona Pereira, Elena Perez Lopez, Timothy Peto, Rutger J. Ploeg, Andrew J. Pollard, Tessa Prince, David J. Roberts, Justine Rudkin, Verónica Sánchez, Gavin Screaton, Malcolm G. Semple, Dominic F. Kelly, Jose Slon-Campos, Elliot Nathan Smith, Alberto Jose Sobrino Diaz, Julie Staves, David I. Stuart, Piyada Supasa, Tomas Surik, Hannah Thraves, Pat Tsang, Lance Turtle, A. Sarah Walker, Beibei Wang, Charlotte Washington, Nicholas A. Watkins, James Whitehouse

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsInstitute of Infection and Immunity
FundersMedical Research CouncilRoyal SocietyPublic Health EnglandDepartment of Health and Social CareGovernment of the United KingdomRobertson FoundationWellcome TrustNational Institute for Health and Care ResearchNational Institute for Health Research Health Protection Research UnitUniversity of OxfordNHS Blood and Transplant
KeywordsCoronavirus disease 2019 (COVID-19)MedicineAntibodyPandemicSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyImmunologyInternal medicineDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.038
metaresearch head score (Gemma)0.024
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: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0380.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.002

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 head0.265
GPT teacher head0.438
Teacher spread0.173 · 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
GenreEmpirical

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

Citations151
Published2020
Admission routes1
Has abstractyes

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