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Record W6892866357 · doi:10.5281/zenodo.1220373

geoscixyz/em: 0.0.6

2025· other· en· W6892866357 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of British ColumbiaCentre de Géomatique du Québec
Fundersnot available
KeywordsSoftware deploymentKey (lock)Position (finance)Troubleshooting

Abstract

fetched live from OpenAlex

What's Changed Add link to Mt Isa data by @fourndo in https://github.com/geoscixyz/em/pull/554 Update dielectric_permittivity_values.rst by @dccowan in https://github.com/geoscixyz/em/pull/561 Correct quasi-static wavelength formula by @prisae in https://github.com/geoscixyz/em/pull/562 Update contributors.rst by @thast in https://github.com/geoscixyz/em/pull/555 Update data.rst by @whimian in https://github.com/geoscixyz/em/pull/565 fix apps paths (master -> main) by @thast in https://github.com/geoscixyz/em/pull/567 update sphinx extensions, remove travis by @lheagy in https://github.com/geoscixyz/em/pull/569 Rebuild by @jcapriot in https://github.com/geoscixyz/em/pull/570 Update transient_response.rst by @dccowan in https://github.com/geoscixyz/em/pull/566 remove disqus from the footer by @lheagy in https://github.com/geoscixyz/em/pull/571 Avoid duplicated Actions runs and deploy only from main by @santisoler in https://github.com/geoscixyz/em/pull/580 Use geoana 0.2.1 for building the website by @santisoler in https://github.com/geoscixyz/em/pull/579 Fix "Edit on Github" links by @santisoler in https://github.com/geoscixyz/em/pull/577 Pin geoana==0.1.3 by @santisoler in https://github.com/geoscixyz/em/pull/581 Linkcheck by @lheagy in https://github.com/geoscixyz/em/pull/576 Remove duplicated check before deployment by @santisoler in https://github.com/geoscixyz/em/pull/582 Fix assignment of charge density for the right sphere by @thibaut-kobold in https://github.com/geoscixyz/em/pull/574 New Contributors @prisae made their first contribution in https://github.com/geoscixyz/em/pull/562 @whimian made their first contribution in https://github.com/geoscixyz/em/pull/565 @jcapriot made their first contribution in https://github.com/geoscixyz/em/pull/570 @santisoler made their first contribution in https://github.com/geoscixyz/em/pull/580 @thibaut-kobold made their first contribution in https://github.com/geoscixyz/em/pull/574 Full Changelog: https://github.com/geoscixyz/em/compare/0.0.5...0.0.6

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.683
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0070.009
Open science0.0060.006
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.6830.759

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 head0.026
GPT teacher head0.250
Teacher spread0.223 · 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.

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
Published2025
Admission routes1
Has abstractyes

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