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Record W4416249293 · doi:10.1002/ar.70079

Skeletal pathologies in extant crocodilians as a window into the paleopathology of fossil archosaurs

2025· article· en· W4416249293 on OpenAlexaff
Alexis Cornille, Kyla A. Beguesse, Ewan Wolff, Clemens Zinner, Patrick Asbach, François Clarac, Florian Witzmann

Bibliographic record

VenueThe Anatomical Record · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsSurgical Specialties (Canada)
FundersDeutsche Forschungsgemeinschaft
KeywordsExtant taxonPaleopathologyTaphonomyOsteologyVertebrateDorsum

Abstract

fetched live from OpenAlex

Crocodilians, together with birds, are the only extant relatives to many extinct archosaur groups, making them highly important for interpreting paleopathological conditions in a phylogenetic disease bracketing model. Despite this, comprehensive data on osteopathologies in crocodilians remain scarce. Here, we present the largest osteopathological survey to date of extant crocodilian skeletal material, comprising 927 individuals and 22,281 skeletal elements spanning all three extant crocodilian families. Our results reveal 1969 osteopathologies from 414 of all individuals (44.7%). Bone trauma is the most prevalent osteopathology, representing 43.9% of all pathologies observed, followed by inflammatory lesions (27.3%) and degenerative joint disorders (11.5%). Statistical analyses demonstrate significant correlations between adult body size, ontogeny, and trauma frequency, with large-sized crocodilian species and older individuals sustaining substantially more injuries. The skull, particularly the dorsal cranial aspect, showed considerably higher involvement of trauma compared to the rest of the skeleton. We also show that non-traumatic pathologies such as inflammation and degenerative joint disorders increase in larger crocodilian species and with ontogeny. These findings underscore the behavioral and physiological drivers of skeletal disease in modern crocodilians and offer key comparative data for interpreting osteopathologies in fossil archosaurs and archosauriforms.

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)0.000
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 score0.157
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.250
Teacher spread0.241 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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