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Record W7128730474 · doi:10.5281/zenodo.18621447

TransformDairyNet- press release #1; A new project to transform the dairy sector

2024· article· W7128730474 on OpenAlexaff
FVE, Yael FVE

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsFuture Vehicle Technologies (Canada)
FundersEuropean Commission
KeywordsDairy industrySupply chainScale (ratio)Production (economics)

Abstract

fetched live from OpenAlex

June 1st, 2024 marked the launch of TransformDairyNet, a Horizon Europe project coordinated by University CollegeDublin, Ireland.TransformDairyNet is a groundbreaking European project designed to revolutionize the dairy industry through CowCalf Contact (CCC) systems. This initiative unites farmers, researchers, NGOs, and industry experts to promotesustainable dairy practices that prioritize animal welfare, environmental sustainability, and economic viability.TransformDairyNet harnesses the expertise of 26 European partners from 14 countries. Together, they will mobilize11 National Innovation Practice Hubs and a European Knowledge and Innovation Network. This network will comprisedairy farmers, veterinarians, advisors, supply chain actors, farmer organizations, researchers, and policymakers, allcollaborating to enhance and scale up CCC dairy production and beyond.

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)0.005
metaresearch head score (Gemma)0.006
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: Other
Teacher disagreement score0.157
Threshold uncertainty score0.527

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1570.052

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 head0.079
GPT teacher head0.271
Teacher spread0.192 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicMilk Quality and Mastitis in Dairy Cows→French-language works237,207→