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Record W2750904771 · doi:10.5281/zenodo.885588

stan-dev/cmdstan v2.17.0

2017· article· en· W2750904771 on OpenAlex
Daniel Lee, Stan Buildbot, Bob Carpenter, Seantalts, Alp Kucukelbir, Michael Betancourt, Dustin Tran, Marcus A. Brubaker, bgoodri, Mitzi Morris, Aki Vehtari, Weberse, Peter Li

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsYork University
Fundersnot available
KeywordsDownloadComputer scienceclone (Java method)Programming languageCode (set theory)World Wide WebSet (abstract data type)Biology

Abstract

fetched live from OpenAlex

v2.17.0 CmdStan release notes Most of the changes are due to improvements in the Stan and Math libraries. See the release notes for Stan v2.16.0 and Math v2.16.0 for more details. Download instructions <strong>Note:</strong> Download using the links to cmdstan-2.16.0.tar.gz or cmdstan-2.16.0.zip for a version that includes Stan and all libraries. (The "Source code" downloads does not include the Stan library and will not work as-is.) To clone CmdStan using git, see: https://github.com/stan-dev/cmdstan/wiki/Getting-Started-with-CmdStan

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0030.001
Open science0.0030.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.005

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 head0.045
GPT teacher head0.277
Teacher spread0.232 · 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