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Record W4280551636 · doi:10.1111/joa.13689

Mechanisms of dermal bone repair after predatory attack in the giant stem‐group teleost<i>Leedsichthys problematicus</i>Woodward, 1889a (Pachycormiformes)

2022· article· en· W4280551636 on OpenAlexaff
Zerina Johanson, Jeff Liston, Donald Davesne, Tom Challands, Moya Meredith Smith

Bibliographic record

VenueJournal of Anatomy · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsRoyal Tyrrell Museum
FundersUppsala UniversitetNatural History Museum
KeywordsActinopterygiiAnatomyBiologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Leedsichthys problematicus is a suspension-feeding member of the Mesozoic clade Pachycormiformes (stem-group Teleostei), and the largest known ray-finned fish (Actinopterygii). As in some larger fish, the skeleton is poorly ossified, but the caudal fin (tail) is well-preserved. Bony calluses have been found here, on the dermal fin rays, and when sectioned, show evidence of bone repair in response to damage. As part of this repair, distinctive tissue changes are observed, including the deposition of woven bone onto broken bone fragments and the surface of the lepidotrichium, after resorption of the edges of these fragments and the lepidotrichial surface itself. Within the woven bone are many clear elongate spaces, consistent with their interpretation as bundles of unmineralized collagen (Sharpey's fibres). These normally provide attachment within dermal bones, and here attach new bone to old, particularly to resorbed surfaces, identified by scalloped reversal lines. Haversian systems are retained in the old bone, from which vasculature initially invaded the callus, hence bringing stem cells committed to forming bone onto the surfaces of the damaged area. These observations provide strong evidence of a vital response through survival of a predatory attack by a large marine reptile, coeval with Leedsichthys in the Jurassic seas.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.220
Teacher spread0.213 · 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 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

Citations9
Published2022
Admission routes1
Has abstractyes

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