MétaCan
Menu
Back to cohort
Record W2185544599 · doi:10.3897/tuhinga.16.e34154

Ectoparasites from native and introduced birds from Christchurch and surrounding areas, New Zealand

2005· article· en· W2185544599 on OpenAlexaff
Terry D. Galloway

Bibliographic record

VenueTuhinga · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsUniversity of Manitoba
FundersUniversity of Canterbury
KeywordsGeographyIntroduced speciesFisheryZoologyEcologyBiology

Abstract

fetched live from OpenAlex

Birds found dead as a result of window-strikes on the University of Canterbury campus (Christchurch, New Zealand) and other dead birds submitted to the Zoology Department were examined for ectoparasites. A total of 244 birds of 22 species were examined during 1998–2000. Silvereyes were found in greatest numbers (n = 133) and were infested with the feather louse, Menacanthus eurysternus (Burmeister, 1838) (Phthiraptera: Menoponidae), which reached greatest prevalence and intensity of infestation in the summer and early autumn months; in general, infestation with lice was not related to host sex. One silvereye was infested with a flea, Ceratophyllus gallinae (Schrank, 1803) (Siphonaptera: Ceratophyllidae), a new host–parasite record for New Zealand. The remaining 21 species of birds were infested with, collectively, at least 20 species of lice (including M. eurysternus) . Infestation parameters for lice are provided for all host species examined. One male and one female of Ornithoica sp. (Diptera: Hippoboscidae) were found on blackbirds; one blackbird was infested with a male C. gallinae . Two of three Hutton’s shearwaters examined were infested with the tick, Ixodes uriae White, 1852 (Acari: Ixodidae), a new host–parasite record for New Zealand.

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 score0.406
Threshold uncertainty score0.807

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.297
Teacher spread0.284 · 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

Citations11
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueTuhingaSame topicParasite Biology and Host InteractionsFrench-language works237,207