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Record W4394028538 · doi:10.5281/zenodo.1490879

Ruthwell Cross - 3D Model Ambient (15M)

2018· dataset· en· W4394028538 on OpenAlexaff
Gurpreet Singh, Daniel Paul O’Donnell, The Visionary Cross Project

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typedataset
Languageen
FieldDecision Sciences
TopicSimulation Techniques and Applications
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This is a High-Resolution Ambient 3D model the Ruthwell Cross, developed as part of the ongoing Visionary Cross project. This model has a 15M poly count. This record contains: An xml record: _Ruthwell_3DModel_Ambient_15M_Metadata.xml A 3D Model of the Ruthwell cross: cross_AmbientOcclusion_15M.ply A 2D thumbnail: Ruthwell_Cross00.png <pre>The DOI for this version of the record is 10.5281/zenodo.1490879. The DOI 10.5281/zenodo.1490878 always points to the latest version of this record.</pre> This file in .ply format is best viewed using 3DHOP, but can also be viewed using 3D rendering software like MeshLab. For individual panels and other related material go to The Visionary Cross community at: https://zenodo.org/communities/the_visionary_cross/

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0040.000
Open science0.0050.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0500.058

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 head0.154
GPT teacher head0.396
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2018
Admission routes1
Has abstractyes

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