MétaCan
Menu
Back to cohort
Record W2089610738 · doi:10.1644/08-mamm-a-318.1

The Phylogenetic Position of the Rodent Genus<i>Typhlomys</i>and the Geographic Origin of Muroidea

2009· article· en· W2089610738 on OpenAlexaff
Sharon A. Jansa, Thomas C. Giarla, Burton K. Lim

Bibliographic record

VenueJournal of Mammalogy · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsPhylogenetic treeCladeEvolutionary biologyPhylogeneticsBiologySynapomorphyGenusZoologyGrowth hormone receptorGeographyGeneGeneticsGrowth hormone

Abstract

fetched live from OpenAlex

In this report, we provide the 1st phylogenetic assessment of the evolutionary relationships of Platacanthomyidae. This enigmatic family of rodents comprises 2 genera, Platacanthomys and Typhlomys, that are distributed disjunctly in western India and southern Asia, respectively. We analyze sequence data from the nuclear genes encoding the interphotoreceptor retinoid-binding protein (IRBP) and the growth-hormone receptor (GHR) to address the relationships of Typhlomys cinereus to other rodents, with a particular focus on testing whether its evolutionary affinities lie with glirids or muroids. Our results provide compelling evidence that Typhlomys is a muroid and that it represents the earliest split within this clade. We use the resulting phylogeny to explore the origin and evolutionary history of muroid rodents. We conclude that both Myodonta and Muroidea originated in Eurasia and that the 3 earliest divergences within Muroidea were restricted to the Eurasian supercontinent. Moreover, our analyses support the view that global muroid diversity resulted from independent radiations in separate continental regions.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.211
Teacher spread0.202 · 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

Citations59
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of MammalogySame topicEvolution and Paleontology StudiesFrench-language works237,207