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Record W2091441269 · doi:10.2113/gssgfbull.183.6.529

Similarities and differences in the ilia of Late Cretaceous anurans and urodeles

2012· article· en· W2091441269 on OpenAlexaff
Zbyněk Roček, James D. Gardner, Jeffrey G. Eaton, Tomáš Přikryl

Bibliographic record

VenueBulletin de la Société Géologique de France · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsRoyal Tyrrell Museum
Fundersnot available
KeywordsCretaceousGeologyAnatomyPaleontologyBiology

Abstract

fetched live from OpenAlex

Abstract Screen-washing of matrix from 37 Upper Cretaceous microvertebrate localities in southern Utah, USA, yielded a rich sample of anuran disarticulated bones, including nearly 200 ilia. Because the bones are relatively small and delicate and were subject to pre-mortem transport and unavoidable damage when the fossiliferous matrix was collected and processed, none of the recovered ilia retained intact shafts. This means that features such as the form of the anterior end of the shaft and the presence and form of a dorsal crest cannot be used to identify the fossils. Urodele bones also are known from many of the same localities. When anuran and urodele ilia are isolated and missing much of their shafts, they are superficially similar, so it was important to reliably differentiate ilia of the two groups. Here we provide a list and brief descriptions of some of the features that we found useful for distinguishing between anuran and urodele ilia. These features relate to differences between the two groups in muscle attachments, contacts between pelvic bones, and structure of the acetabula. Because all of the features exhibit some variation, we recommend that they be used in combination when trying to distinguish between anuran and urodele ilia.

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 score0.035
Threshold uncertainty score0.267

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 science0.0000.000
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 head0.012
GPT teacher head0.232
Teacher spread0.220 · 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

Citations8
Published2012
Admission routes1
Has abstractyes

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