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Record W2188220986 · doi:10.11646/zootaxa.1893.1.3

Salticid spider phylogeny revisited, with the discovery of a large Australasian clade (Araneae: Salticidae)

2008· article· en· W2188220986 on OpenAlexaff
Wayne P. Maddison, Melissa R. Bodner, Karen Wiedenfeld Needham

Bibliographic record

VenueZootaxa · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpider Taxonomy and Behavior Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologyZoologyCladeSpiderGenusSubgenusTaxonEcologyPhylogenetics

Abstract

fetched live from OpenAlex

DNA sequence data from four gene regions (28S, 18S, 16S-ND1, and CO1) were gathered from 65 jumping spider (salticid) taxa to supplement previously gathered molecular data for the family's phylogeny. The additional taxa are mostly from Australasia and other regions of the Old World. Bayesian and parsimony analyses support a clade, here called the Astioida, representing a large proportion of the Australasian fauna. Included in the Astioida are, for example, the robustbodied Simaetha and Mopsus, the flattened bark-dweller Holoplatys, the delicate foliage-dweller Tauala, the antlike Myrmarachne and the litter-dwelling Neon. One astioid, Rhondes neocaledonicus, is returned to that genus from its placement in Hasarius. Another newly supported clade, the Aelurilloida, includes the aelurillines, the freyines, and the Bacelarella group of genera. Other newly delimited clades are the Philaeus group (Philaeus, Mogrus, Carrhotus and others), the Leptorchesteae (Leporchestes, Yllenus and Paramarpissa) and the Hasarieae (Hasarius, Habrocestum and Chinattus). These results concur with previous discoveries (e.g., Amycoida, Marpissoida) in suggesting that salticid clades are largely restricted to 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)0.000
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.018
GPT teacher head0.255
Teacher spread0.237 · 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

Citations84
Published2008
Admission routes1
Has abstractyes

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