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Record W4406296593

Preparation, articulation, and photogrammetry of a neonatal moose <i>(Alces alces)</i> skeleton.

2025· article· en· W4406296593 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePubMed · 2025
Typearticle
Languageen
FieldMedicine
TopicComparative Animal Anatomy Studies
Canadian institutionsUniversity of Northern British ColumbiaTRIUMF
FundersDepartment Ecosystem Science and Management, Texas A and M UniversityUniversity of Northern British Columbia
KeywordsPhotogrammetryArticulation (sociology)GeographyRemote sensingPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Objective: osteological specimens, document the procedures of preparing and articulating a delicate specimen, and construct a 3-dimensional (3D) scan of the articulated skeleton that could be used for scientific and veterinary research and study worldwide. Animal: A neonatal moose that had succumbed to capture myopathy resulting from entanglement in a barbed wire fence was the sole subject of this project. Procedure: The neonatal moose carcass was degloved, the bones processed and cleaned, the skeleton articulated, and the articulated skeleton rendered into a 3D model using photogrammetry. Results: The result was an articulated neonatal moose skeleton. The articulation is on display at the University of Northern British Columbia (UNBC); the 3D model is available on UNBC's website. Conclusion and clinical relevance: allometry, morphometry, osteology, and skeletal articulation. The documented processes and 3D model can be used as references in veterinary and biological research, study, and instruction. In addition, the 3D model is available to download (open source) for future projects from UNBC (www.unbc.ca/roy-rea/moose-calf-articulation).

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.369

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 head0.015
GPT teacher head0.289
Teacher spread0.274 · 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