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Record W3107209823 · doi:10.1111/jzo.12856

Intra‐specific variation of non‐genitalic and genitalic traits in two euophryine jumping spider species

2020· article· en· W3107209823 on OpenAlexaff
Jinxiang Lai, Wayne P. Maddison, Hongyu Ma, Junxia Zhang

Bibliographic record

VenueJournal of Zoology · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversity of British ColumbiaRoyal British Columbia Museum
Fundersnot available
KeywordsBiologyJumping spiderEvolutionary biologySexual selectionSpiderVariation (astronomy)AllometrySelection (genetic algorithm)JumpingArthropod mouthpartsZoologyEcology

Abstract

fetched live from OpenAlex

Abstract Intra‐specific variation pattern is informative to understanding the evolution of morphological traits, but has been rarely studied in jumping spiders. Here we investigate the intra‐specific variation of non‐genitalic and genitalic traits in two euophryine jumping spider species that show considerable difference in sexual dimorphism: Chapoda recondita (Peckham & Peckham, 1896) and Antillattus cambridgei (Bryant, 1943). The results show the pre‐copulatory sexually selected traits (e.g. male chelicerae) tend to have positive intra‐specific allometry, and thus may have evolved under strong directional selection. The genitalic traits and some non‐genitalic traits tend to show negative allometries. Unlike non‐genitalic traits, the genitalic traits usually have high size‐corrected intra‐specific variation (CV’). Factors that may account for the negative allometry and high size‐corrected intra‐specific variation in genitalic traits are discussed. Pre‐ and post‐copulatory sexual selection may coexist in species and whether there is a trade‐off between these two selection mechanisms remains to be investigated.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

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

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 head0.039
GPT teacher head0.252
Teacher spread0.213 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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