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Record W6910858702 · doi:10.5061/dryad.2v6wwpznh

Data Matrices Nukukammophis

2021· dataset· en· W6910858702 on OpenAlexaff

Bibliographic record

VenueOpen MIND · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCretaceousSkullVertebrateFossil RecordTetrapod (structure)Phylogenetic tree

Abstract

fetched live from OpenAlex

Reassessment of the anatomy of a three-dimensionally preserved, partial braincase from the Lower Cretaceous (lower Valanginian; ~139 mya) Kirkwood Formation of the Kirkwood Cliffs Quarry, South Africa, reveals it to be that of a new fossil snake species. The braincase presents a number of squamate skull features but also specific braincase features shared with early snakes such as Najash, Dinilysia, Sanajeh, and Menarana (e.g., presence of a large fenestra ovalis; fenestra rotunda separated from fenestra ovalis by prominent crista interfenestralis; reduced basal tubera on basioccipital). Phylogenetic relationships were analyzed using two distinct data sets and under different optimality criteria, recovering this new snake as an early-evolving lineage with close affinities to other Cretaceous Gondwanan snakes including Najash, Dinilysia, and other typical madtsoiids. This three-dimensionally preserved braincase reveals important aspects of early snake cranial evolution that were previously unknown from the oldest known fossil snakes. This specimen extends the fossil record of Gondwanan snakes by at least 45 my, making it the oldest known African and Gondwanan fossil snake and supporting a much broader palaeobiogeographical distribution of early snakes across ancient Gondwanan continents during the Early Cretaceous.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.109
Threshold uncertainty score0.364

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1090.074

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 head0.141
GPT teacher head0.396
Teacher spread0.255 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2021
Admission routes1
Has abstractyes

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