MétaCan
Menu
Back to cohort
Record W7117293428 · doi:10.17632/std5c599zh.1

Pleiotropic effects of the milk somatic cell transcriptome associated with feed efficiency and immunity in Holstein dairy cows_Supplementary Material

2025· dataset· W7117293428 on OpenAlexaff
Victoria Asselstine, Flávio S. Schenkel, F. Miglior, Christine F. Baes, Paul Stothard, Angela Cánovas

Bibliographic record

VenueMendeley Data · 2025
Typedataset
Language
Field
Topic
Canadian institutionsUniversity of AlbertaUniversity of Guelph
Fundersnot available
KeywordsTranscriptomeSomatic cellQuantitative trait locusDairy cattleGeneImmunityHolstein Cattle

Abstract

fetched live from OpenAlex

This is the supplementary date to accompany the manuscript titled Pleiotropic effects of the milk somatic cell transcriptome associated with feed efficiency and immunity in Holstein dairy cows. Supplementary Table 1: Descriptive statistics of samples sent for sequencing analysis with their corresponding animal ID, DIM statistics and RFI Supplementary Table 2: Genomic coordinates of the 36 differentially expressed genes in the milk somatic cells of 39 Holstein dairy cows for QTL analysis Supplementary Table 3: Previously annotated QTL within the genomic regions of the list of 36 differentially expressed genes from the milk somatic cells of 39 Holstein dairy cows Supplementary Table 4: Significantly enriched QTL within the genomic regions of the list of 36 differentially expressed genes from the milk somatic cells of 39 Holstein dairy cows

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: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.073
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0730.017

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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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 designObservational
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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueMendeley DataFrench-language works237,207