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Record W4220922945 · doi:10.1128/jcm.02283-21

Highly Sensitive Lineage Discrimination of SARS-CoV-2 Variants through Allele-Specific Probe PCR

2022· article· en· W4220922945 on OpenAlexfundno aff
Jeremy Ratcliff, Farah Al-Beidh, Sagida Bibi, David Bonsall, Sue Ann Costa Clemens, Lise J Estcourt, Amy Evans, Matthew Fish, Pedro M. Folegatti, Anthony Gordon, Cecilia Jay, A.R. Jennings, Emma Laing, Teresa Lambe, George MacIntyre-Cockett, David K. Menon, Paul Mouncey, Dung Nguyen, Andrew J. Pollard, Maheshi Ramasamy, David Roberts, Kathy Rowan, Jennifer Rynne, Manu Shankar‐Hari, Sarah Williams, Heli Harvala, Tanya Golubchik, Peter Simmonds

Bibliographic record

VenueJournal of Clinical Microbiology · 2022
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersFP7 HealthNIHR Imperial Biomedical Research CentreMedical Research CouncilNational Health and Medical Research CouncilFundação LemannEuropean CommissionMinderoo FoundationUniversity of OxfordCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchHealth Research BoardAstraZenecaTranslational Breast Cancer Research ConsortiumWellcome TrustPittsburgh Foundation
KeywordsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)BiologyLineage (genetic)VirologyCoronavirus disease 2019 (COVID-19)DNA sequencing2019-20 coronavirus outbreakAlleleGeneticsPolymerase chain reactionGold standard (test)Computational biologyGeneMedicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

) values between 26 and 30 and in samples that showed evidence of degradation. Results for samples screened by ASP-PCR and NGS showed 99% concordant results. ASP-PCR is well suited to augment but not replace NGS. The method can differentiate SARS-CoV-2 lineages with high accuracy and would be best deployed to screen samples with lower viral loads or that may suffer from degradation. Future work should investigate further destabilization from primer-target base mismatch through altered oligonucleotide chemistry or chemical additives.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.149
GPT teacher head0.431
Teacher spread0.282 · 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 designBench or experimental
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

Citations9
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical MicrobiologySame topicSARS-CoV-2 and COVID-19 ResearchFrench-language works237,207