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Record W4417098120 · doi:10.11646/zootaxa.5727.1.12

Two new and rare psyllids (Hemiptera, Psylloidea) from French Polynesia

2025· article· W4417098120 on OpenAlexaff
Diana M. Percy

Bibliographic record

VenueZootaxa · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEndemismGenusHost (biology)Taxonomy (biology)Key (lock)

Abstract

fetched live from OpenAlex

Two new psyllid species, Ctenarytaina elinae sp. nov. and Anomocephala rosiegeorgeorum sp. nov., are described from French Polynesia. Both are single island endemics known only from a small number of specimens. Ctenarytaina elinae sp. nov. is in the primarily Austro-Pacific genus Ctenarytaina Ferris & Klyver (Aphalaridae), and with the addition of C. elinae there are now three Ctenarytaina species in French Polynesia. Ctenarytaina elinae sp. nov. is endemic to Tahiti in the Society Islands, and although the host is unrecorded there is some evidence to suggest it may be Metrosideros (Myrtaceae). Previously monotypic, Anomocephala Tuthill (Triozidae), with the addition of A. rosiegeorgeorum sp. nov., now includes two species, and both of these are endemic to Rapa island in the southern Austral archipelago. Both the genus, Anomocephala, and the type species, Anomocephala unica Tuthill, 1942, are redescribed. The host plant of Anomocephala rosiegeorgeorum sp. nov. is likely Metrosideros collina. The new species names recognize entomologists working in the Pacific, and this contribution to this special issue honours one of the most prolific psyllid researchers and taxonomists, Daniel Burckhardt.

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 score0.170
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.248
Teacher spread0.231 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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