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A Refined Guide for Aging Muskoxen (Ovibos moschatus) Based on Mandibular Examination v1

2025· preprint· en· W4412423664 on OpenAlexfundno aff
Erica Suitor, Eleanor R. Dickinson, John Scheels, Mathieu Pruvot, Fabien Mavrot, Tracy Davison, Lisa‐Marie Leclerc, Susan Kutz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicDigital Imaging for Blood Diseases
Canadian institutionsnot available
FundersPolar Knowledge CanadaAlaska Department of Fish and GameNunavut General Monitoring PlanMassachusetts Department of Fish and Game
KeywordsBiology

Abstract

fetched live from OpenAlex

This protocol outlines three improved methods for aging muskoxen, along with guidance on selecting the most appropriate approach based on the available sample type. These refinements aim to enhance the accuracy and reliability of age determination. Tooth Eruption PatternTooth eruption is the most accurate method for estimating age in muskoxen up to 5 years old. Individuals older than this are classified as 5+ years. Previously, muskoxen over 3 years were typically grouped as 4+ years. This protocol introduces the first continuous eruption timeline by age in months, offering a more precise understanding of age-related dental changes. Mandible MorphometricsCaudal mandible length is the most informative morphometric for estimating age until growth ceases around 60 months old (5 years). This protocol validates the relationship between mandible growth and age, providing an additional metric for age estimation during the growth period. Cementum Annuli Analysis (CAA)CAA is used to estimate the age of adult muskoxen beyond the eruption and growth phases. Using known-age individuals, we found that CAA tends to underestimate actual age due to faint and thin annuli, which require a highly experienced examiner to interpret. This is the first evaluation of CAA validity and precision in muskoxen using known-age specimens.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.001
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 head0.019
GPT teacher head0.288
Teacher spread0.269 · 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 teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreMethods

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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