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Record W4247060564 · doi:10.14806/ej.19.1.606

The Global Organisation for Bioinformatics Learning, Education & Training (GOBLET)

2013· article· en· W4247060564 on OpenAlex
GOBLET Consortium

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEMBnet journal · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsnot available
FundersNorwegian Biodiversity Information CentreUniversité de LausanneRadboud UniversiteitUniversity of New South WalesMacquarie UniversityCommonwealth Scientific and Industrial Research OrganisationUniversity of Cape TownUniversität BaselUniversidad de MálagaOntario Institute for Cancer ResearchUniversité du Luxembourg
KeywordsGlobeVariety (cybernetics)Training (meteorology)VisibilityValue (mathematics)Public relationsPolitical scienceKnowledge managementComputer scienceMedicineArtificial intelligenceGeography

Abstract

fetched live from OpenAlex

Dispersed across the globe are many organisations that conduct bioinformatics education and training activities as part of their core business. The value of these different educational initiatives within their particular contexts is clear. Nevertheless, we felt that tangible benefits – in terms of efficiency, cost-effectiveness, visibility, etc. – could accrue were such organisations to more openly share their experiences, expertise and resources. Under the auspices of the 24 th Annual General Meeting of EMBnet (the Global Bioinformatics Network), leaders and representatives of a variety of international societies, networks and institutes therefore met in Uppsala, Sweden, on 2 June 2012, to discuss how such benefits might be realised in practice.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.306
Teacher spread0.284 · 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