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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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.662
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0100.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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