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Additional file 6 of Small nucleolar RNA dysregulation and potential roles in bovine subclinical mastitis

2025· dataset· en· W7084044966 on OpenAlexaff

Bibliographic record

VenueFigshare · 2025
Typedataset
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsMcGill UniversityAgriculture and Agri-Food Canada
Fundersnot available
KeywordsKEGGStaphylococcus aureusGeneStaphylococcusSmall nucleolar RNAGene ontology

Abstract

fetched live from OpenAlex

Supplementary Material 6. Table S6A Functional enrichment Gene Ontology Biological processes of differentially expressed snoRNA correlated genes of Staphylococcus aureus versus control group. Table S6B Functional enrichment Gene Ontology Biological processes of differentially expressed snoRNA correlated genes of Staphylococcus chromogenes versus control group. Table S6C Functional enrichment KEGG pathway analysis of differentially expressed snoRNA correlated genes of Staphylococcus aureus versus control group. Table S6D Functional enrichment KEGG pathway analysis of differentially expressed snoRNA correlated genes of Staphylococcus chromogenes versus control group. Table S6E Functional enrichment KEGG pathway analysis of differentially expressed snoRNA correlated genes specific to Staphylococcus aureus, Staphylococcus chromogenes and Staphylococcus aureus versus Staphylococcus chromogenes. Table S6F Functional enrichment Gene Ontology Biological processes terms of differentially expressed snoRNA correlated genes specific to Staphylococcus aureus, Staphylococcus chromogenes and Staphylococcus aureus versus Staphylococcus chromogenes. Table S6G Functional enrichment KEGG pathways of 7 hub snoRNAs correlated genes of Staphylococcus chromogenes versus control group. Table S6H Functional enrichment Gene Ontology Biological processes of 7 hub snoRNAs correlated genes of Staphylococcus chromogenes versus control group. Table S6I Functional enrichment Gene Ontology Biological processes of 7 hub snoRNAs correlated genes of Staphylococcus aureus versus control group. Table S6J Functional enrichment KEGG pathways of 7 hub snoRNAs correlated genes of Staphylococcus aureus versus control group. Table S6K Functional enrichment Gene Ontology Biological processes of SNORA1 correlated genes of Staphylococcus aureus versus control group. Table S6L Functional enrichment KEGG pathway analysis of differentially expressed SNORA1 correlated genes of Staphylococcus aureus versus control group. Table S6M Functional enrichment Gene Ontology Biological processes of SNORA66 correlated genes of Staphylococcus aureus versus control group. Table S6N Functional enrichment KEGG pathway analysis of differentially expressed SNORA66 correlated genes of Staphylococcus aureus versus control group. Table S6O Functional enrichment Gene Ontology Biological processes of SNORA79 correlated genes of Staphylococcus chromogenes versus control group. Table S6P Functional enrichment KEGG pathway analysis of differentially expressed SNORA79 correlated genes of Staphylococcus aureus versus control group. Table S6Q Functional enrichment Gene Ontology Biological processes of SNORD49 correlated genes of Staphylococcus chromogenes versus control group. Table S6R Functional enrichment KEGG pathway analysis of differentially expressed SNORD49 correlated genes of Staphylococcus aureus versus control group.

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)0.002
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.803
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8030.105

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 head0.015
GPT teacher head0.245
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.

Study designNot applicable
Domainnot available
GenreDataset

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 routes1
Has abstractyes

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