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Record W7105982889 · doi:10.7939/83024

Atypical morphology in the skull of Pachyrhinosaurus lakustai: contributions of pathology and taphonomy to observed variation within dinosaur death assemblages

2025· dissertation· en· W7105982889 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2025
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsnot available
Fundersnot available
KeywordsTaphonomySkullMorphology (biology)CretaceousPopulationFossil RecordVariation (astronomy)Vertebrate

Abstract

fetched live from OpenAlex

The centrosaurine ceratopsid dinosaur Pachyrhinosaurus lakustai is among the most richly represented of all the non-avian dinosaurs due to the large number of individuals preserved in the Pipestone Creek Bonebed of the Upper Cretaceous Wapiti Formation near Grande Prairie in northern Alberta, Canada. Although the material is disarticulated, multiple examples of virtually every bone in the body are present, across multiple ontogenetic stages. These bones appear to be the remains of a single population of P. lakustai that died in a single mass mortality event. Variation among individuals is prevalent amongst these remains, as demonstrated by the patterns of ornamentation seen in different skulls, unique as fingerprints. Many of the differences observed are likely phenotypic: they may represent different genotypes, secondary sexual traits, ontogenetic stages, or life history events. Others, like the lateral or dorsoventral compression that warps many of the bones, are taphonomic in nature. “Virtual paleontology” imaging modalities supplement direct observation of the disparate morphologies with additional information that traditional descriptions of gross morphology would be likely to omit. Tomographic imaging modalities like X-ray computed tomography (CT) allow paleontologists to peer inside fossil specimens, while surface scanning techniques offer quick and easy ways of making three-dimensional (3D) models. Both techniques were applied herein to examples of variation and atypical morphology in the skull of P. lakustai in order to infer their likely causes. CT imagery of UALVP 62634, a partial P. lakustai cranium with an atypical premaxilla, added information from the interior of the specimen to what could be observed about the deformation externally. The ventral margin of the right premaxilla is mediolaterally expanded and marked by two deep depressions. Lack of typical hallmarks of osteolysis or osteonecrosis under CT, paired with a dorsal offset of the expanded region, suggests that this abnormality was a pathologic feature caused by a trauma and resulting soft tissue granuloma(s) that lysed depressions in the bone. Additionally, surface scanning via photogrammetry paired with histology and geographic information system (GIS) technology indicates that one of the most salient variable features of P. lakustai, the eponymous nasal boss, owes its variability to taphonomic deformation: fragile bosses were preferentially eroded to form a gradient of shapes, from domed to bowl-shaped. These findings highlight the effects of pathology and taphonomy in producing the variation seen in dinosaur death assemblages. While pathology at times can lead to ecological inferences about the life experiences of extinct animals, the impact of taphonomy should be taken as a cautionary tale about the reconstruction of ecology based on atypical morphology.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.197
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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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