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The International Milk Genomics Consortium Web Portal

2010· article· en· W2291334916 on OpenAlexaff
Danielle G. Lemay, Matthew Lange, Sean C Crook, David A. Sela, Christophe Lefèvre, Philip Church, Gonca Pasin, Michael A. Hauser, J.A.M. van Arendonk, Didier Boichard, Ian H. Mather, Patrice D Martin, S. S. Moore, Margaret Neville, Monique Rijnkels, Kuljeet Singh, Catherine Stanton, Peter Williamson, J German

Bibliographic record

VenueThe FASEB Journal · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGenomicsUploadResource (disambiguation)World Wide WebBiologyComputer scienceGenomeGeneticsGene

Abstract

fetched live from OpenAlex

The International Milk Genomics Consortium (IMGC) was established to increase communication and collaboration among milk and mammary scientists, to accelerate research into the biological processes underlying milk, and to improve understanding of the health traits conferred to mother and offspring. The IMGC Web Portal ( http://www.milkgenomics.org ) is a publicly available resource in which milk and mammary genomic, transcriptomic, proteomic, and glycomic data from various organisms have been curated, integrated, and linked with external databases and tools. Users can upload their own data and control data access to facilitate collaborative projects prior to and after publication. Funded by the IMGC.

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)0.003
metaresearch head score (Gemma)0.005
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: Software · Consensus signal: none
Teacher disagreement score0.185
Threshold uncertainty score0.620

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.010
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0020.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.1850.127

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 head0.021
GPT teacher head0.233
Teacher spread0.212 · 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
GenreSoftware

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
Published2010
Admission routes1
Has abstractyes

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