MétaCan
Menu
Back to cohort
Record W4366332528 · doi:10.26879/1158

Morphological insights into the lobster genus Uncina Quenstedt, 1851 based on new material from the Ya Ha Tinda Konservat-Lagerstätte, Canada (Early Jurassic)

2023· article· en· W4366332528 on OpenAlexfundaboutno aff
Brooke Bogan, Rowan C. Martindale, Rodney M. Feldmann, Carrie E. Schweitzer, Drew Muscente

Bibliographic record

VenuePalaeontologia Electronica · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
FundersUniversity of Texas at AustinParks CanadaNational Science Foundation
KeywordsLagerstätteGenusPaleontologyGeologyTaphonomyGeographyBiologyEcology

Abstract

fetched live from OpenAlex

It is rare to find Early Jurassic crustacean material outside of Europe but the discovery of the Ya Ha Tinda Konservat-Lagersttte in Alberta, Canada, has significantly increased the number of crustacean specimens, specifically of the genus Uncina. New articulated specimens of Uncina pacifica and Uncina ollerenshawi preserve most of the cephalothorax and pleon, not just the chelae of the first pereiopod. This new material from Ya Ha Tinda permits revised morphologic descriptions as well as a quantitative analysis of the intra-and interspecific variability of Uncina claw morphology. Morphometric similarities and differences are noted between species, indicating that a notch at the distal end of the occlusal surface of the fixed finger is diagnostic for the genus. Our findings suggest that Uncina species are usually isochelous, with the exception of Uncina pacifica, which is heterochelous. The two co-occurring species of Uncina in the Ya Ha Tinda Formation, Uncina pacifica and Uncina ollerenshawi, likely occupied different niches, based upon differences in chela 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.361

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.009
Science and technology studies0.0040.004
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.202
Teacher spread0.191 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

Same venuePalaeontologia ElectronicaSame topicCrustacean biology and ecologyFrench-language works237,207