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Record W4407797974 · doi:10.3389/fgene.2025.1572285

Corrigendum: Integrated network analysis to identify key modules and potential hub genes involved in bovine respiratory disease: a systems biology approach

2025· erratum· en· W4407797974 on OpenAlexaffabout
Aliakbar Hasankhani, Abolfazl Bahrami, Negin Sheybani, Farhang Fatehi, Roxana Abadeh, Hamid Ghaem Maghami Farahani, Mohammad Reza Bahreini Behzadi, Ghazaleh Javanmard, Sadegh Isapour, Hosein Khadem, Herman W. Barkema

Bibliographic record

VenueFrontiers in Genetics · 2025
Typeerratum
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsKey (lock)BiologyBovine respiratory diseaseComputational biologyGene regulatory networkSystems biologyDiseaseGeneGeneticsMedicineMicrobiologyEcologyGene expressionPathology

Abstract

fetched live from OpenAlex

Corrigendum: Integrated Network Analysis to Identify Key Modules and Potential Hub Genes Involved in Bovine Respiratory Disease: A Systems Biology ApproachName of all authors as they appear in the published original article Aliakbar Hasankhani1*, Abolfazl Bahrami1,2*, Negin Sheybani3, Farhang Fatehi1, Roxana Abadeh4, Hamid Ghaem Maghami Farahani1, Mohammad Reza Bahreini Behzadi5, Ghazaleh Javanmard1, Sadegh Isapour1, Hosein Khadem6 and Herman W. Barkema7Affiliations of all authors as they appear in the published original version of the article 1Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.2Nuclear Agriculture Research School, Nuclear Science and Technology Research Institute, Karaj, Iran.3Department of Animal and Poultry Science, College of Aburaihan, University of Tehran, Tehran, Iran.4Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran.5Department of Animal Science, Faculty of Agriculture, Yasouj University, Yasouj, Iran.6Department of Agronomy and Plant Breeding, University of Tehran, Karaj, Iran.7Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada.* Correspondence: A.hasankhani74@ut.ac.ir; a.bahrami@ut.ac.irKeywords: bovine respiratory disease, RNA-seq, weighted gene co-expression network, protein-protein interaction, hub-hub genes Corrigendum on: Hasankhani A, Bahrami A, Sheybani N, Fatehi F, Abadeh R, Ghaem Maghami Farahani H, Bahreini Behzadi MR, Javanmard G, Isapour S, Khadem H and Barkema HW (2021) Integrated Network Analysis to Identify Key Modules and Potential Hub Genes Involved in Bovine Respiratory Disease: A Systems Biology Approach. Front. Genet. 12:753839. doi: 10.3389/fgene.2021.753839. Incorrect AffiliationIn the published article, there was an error in affiliation 2. Instead of “BiomedicalCenter for Systems Biology Science Munich, Ludwig-Maximilians-University, Munich, Germany”, it should be “Nuclear Agriculture Research School, Nuclear Science and Technology Research Institute, Karaj, Iran”. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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)0.038
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 score0.125
Threshold uncertainty score0.417

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.038
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0040.003
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0030.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1250.056

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 head0.030
GPT teacher head0.260
Teacher spread0.230 · 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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