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Record W2009957445 · doi:10.1017/s0968047002000134

Underwood's classification of the geckos: a 21st century appreciation

2002· article· en· W2009957445 on OpenAlexaff
Anthony P. Russell, Aaron M. Bauer

Bibliographic record

VenueBulletin of the Natural History Museum Zoology Series · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGekkonidaeSystematicsBiogeographyGeographyEvolutionary biologyMonophylyGeckoZoologyTaxonomy (biology)EcologyBiologyPhylogenetic treeCladeSquamata

Abstract

fetched live from OpenAlex

The publication in 1954 of Underwood's ‘On the classification and evolution of geckos’ was the first comprehensive attempt to understand the systematics, evolution and biogeography of this group of lizards. Combining the use of the exploration of novel characters with a global overview of geckos, Underwood erected hypotheses of relationship and patterns of distribution. In the 48 years since that landmark publication much has changed, but much has stayed the same. Underwood's division of geckos into four major clusters is still recognised today, although the sphaerodactyls are now regarded as a group derived from within the gekkonines, and the diplodactylines have been diminished by the removal of several genera and their placement in the gekkonines. The framework that Underwood established has resulted in generic and/or species level phylogenies being generated for the eublepharids, some sphaerodactyls, the carphodactyline diplodactylines and some clusters within the gekkonines. The latter group, because of its size, has remained intractable to detailed systematic analysis at the generic level, although the recognition of many discrete monophyletic clusters within the Gekkonidae (the Gekkoninae of Underwood) holds out the possibility that greater levels of intergeneric resolution are close to realisation. Underwood's initial approach to the systematic analysis of geckos was distinguished by its use of novel characters of the visual system that led to new insights. It is possible that the next breakthrough in higher level systematic analysis of geckos may again come from the exploitation of new character sources. Some examples of these possibilities are discussed.

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)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.004
Science and technology studies0.0020.020
Scholarly communication0.0050.014
Open science0.0020.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.181
Teacher spread0.168 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations35
Published2002
Admission routes1
Has abstractyes

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