MétaCan
Menu
Back to cohort
Record W2523284580 · doi:10.14351/0831-4985-30.1.73

Three legs good, four legs better: Making a quagga whole again with 3D printing

2016· article· en· W2523284580 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
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

VenueCollection Forum · 2016
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsnot available
Fundersnot available
KeywordsScapulaEquusAnatomySkeleton (computer programming)Computed tomographyComputer scienceBiologyPaleontologyMedicineRadiology

Abstract

fetched live from OpenAlex

Abstract Specimens of extinct animals are among the most precious items in a museum’s collection. They are vital for research and education, especially those that have become extinct relatively recently due to human activity. Only seven skeletons of the extinct subspecies of plains zebra Equus quagga quagga are known to exist in museum collections worldwide, including a specimen on display at the Grant Museum of Zoology, London. However, the left hind leg and right scapula of this specimen have been missing for many years. As part of a recent project to conserve and remount this skeleton, the left scapula and articulated right hind limb were scanned using computed tomography (CT) so that mirrored data could be used to 3D print the missing bones. The 3D-printed models installed on the original specimen do more than provide an anatomically complete skeleton and improve the physical stability of the specimen; the black 3D printed bones contrast with the rest of the skeleton, which highlights the work undertaken and provides a more engaging exhibit. The CT scans are also available for research and as an interactive 3D model within the display.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score0.412

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 studies0.0000.000
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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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