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Record W4403872581 · doi:10.1038/s41467-024-53809-x

Author Correction: The recent rapid expansion of multidrug resistant Ural lineage Mycobacterium tuberculosis in Moldova

2024· erratum· en· W4403872581 on OpenAlexaff
Melanie H. Chitwood, Caroline Colijn, Chongguang Yang, Valeriu Crudu, Nelly Ciobanu, Alexandru Codreanu, Jaehee Kim, Isabel Rancu, Kyu Y. Rhee, Ted Cohen, Benjamin Sobkowiak

Bibliographic record

VenueNature Communications · 2024
Typeerratum
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsSimon Fraser University
FundersNational Institute of Allergy and Infectious Diseases
KeywordsTuberculosisMycobacterium tuberculosisLineage (genetic)Multiple drug resistanceVirologyBiologyMicrobiologyMedicineDrug resistanceGeneticsPathologyGene

Abstract

fetched live from OpenAlex

The original version of the manuscript contained errors in the phylogenetic analysis, due to missing positions being imputed as the reference nucleotide in the multiple sequence alignment between the Moldovan and Georgian sequences. This has been corrected by re-running the variant calling using GATK ‘GenotypeGVCF’ with all Moldovan and Georgian lineage 4.2 isolates jointly to produce a new multi-sequence alignment for the comparative analysis. Consequently, the following corrections have been made:

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)0.004
metaresearch head score (Gemma)0.063
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: Other · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.063
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0320.024

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 head0.033
GPT teacher head0.346
Teacher spread0.313 · 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
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
Published2024
Admission routes1
Has abstractyes

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