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Record W2965359479 · doi:10.2172/1544472

8th Annual Earth System Grid Federation Face-to-Face Conference Report

2019· report· en· W2965359479 on OpenAlexaff
Holly Auten, Michael Lautenschlager, Ghaleb Abdulla, Sasha Ames, V. Balaji, L. Carriere, L. Cinquini, Sébastien Denvil, Ben Evans, R. Ferraro, Philip Kershaw, Tom Landry

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsCanarie
Fundersnot available
KeywordsSession (web analytics)Opening ceremonyCeremonyFace-to-faceEvent (particle physics)Plenary sessionGridFace (sociological concept)Library sciencePolitical scienceEngineeringAeronauticsOperations researchComputer scienceHistoryGeographyWorld Wide WebLawSociologyArchaeology

Abstract

fetched live from OpenAlex

Members of the Earth System Grid Federation (ESGF) gathered in Washington, DC, on December 3–7, 2018, for the 8th Annual ESGF Face-to-Face (F2F) Conference. The event packed 40 presentations, several plenary sessions, a poster session, guest speakers, an awards ceremony, and an Executive Committee (XC) meeting into the week. ESGF working teams (WTs) conduct daily operations remotely all over the world. Although most teams meet online regularly, in-person interaction is incredibly important for cementing relationships and evaluating progress.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.244
Teacher spread0.220 · 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
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
Published2019
Admission routes1
Has abstractyes

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