MétaCan
Menu
Back to cohort
Record W7128735242 · doi:10.5281/zenodo.18621576

TransformDairyNet- Press release #2; Uniting Europe for Sustainable Dairy Innovation in Thessaloniki

2025· article· W7128735242 on OpenAlexaff
Yael FVE

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicFood Supply Chain Traceability
Canadian institutionsFuture Vehicle Technologies (Canada)
FundersEuropean Commission
KeywordsMilestoneWork (physics)StakeholderSustainabilityStakeholder engagement

Abstract

fetched live from OpenAlex

Following its successful launch in 2024, the TransformDairyNet (TDN) project reached another milestone in May 2025with its first in-person General Assembly and European Knowledge and Innovation Network (EKIN) meeting. Heldin Thessaloniki, Greece from 21–23 May, this gathering marked one year of collaborative work to transform dairy farmingthrough support of the wider adoption of Cow-Calf Contact (CCC) systems across Europe.Nearly 60 in-person participants and 57 online attendees from 14 countries came together to assess progress, shareknowledge, and inspire one another in the drive toward more sustainable, ethical, and economically viable dairypractices. In the coming months, TDN will continue to collect insights on best practices for Cow-Calf Contact (CCC)systems. The stakeholder survey is now open and will remain available until the end of October

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0040.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.251
Teacher spread0.215 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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 venueZenodo (CERN European Organization for Nuclear Research)Same topicFood Supply Chain TraceabilityFrench-language works237,207