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Record W2020455692 · doi:10.1080/03014223.2004.9518377

Engorgement success of parasitic mites on adult sexes of the colour polymorphic mountain stone weta

2004· article· en· W2020455692 on OpenAlexafffund
Tonia Robb, Mark R. Forbes, Ian G. Jamieson

Bibliographic record

VenueNew Zealand Journal of Zoology · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicStudy of Mite Species
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Otago
KeywordsBiologyMiteZoologyParasitismAcariEcologyRange (aeronautics)Host (biology)

Abstract

fetched live from OpenAlex

Abstract In this study, the prevalence and intensity of the ectoparasitic mite Wetapolipus ja‐miesoni was examined on two colour morphs of the mountain stone weta Hemideina maori , collected from the Rock and Pillar Range in the province of Otago, New Zealand. We scored success of mites by identifying whether mites were alive or dead on hosts. We determined whether these indices of mite success related to morph or sex of adult weta. Our data indicate that there were no differences in mite prevalence, or in intensity of mite parasitism, between males and females of the two weta morphs. However, the interaction between morph and sex accounted for significant variation in proportion of dead mites on hosts. Specifically, black females had proportionately fewer dead mites than black males, yellow males, or yellow females. These data did not corroborate earlier findings that yellow individuals had higher immune expression than did their black conspecifics following challenges with immuno‐genic Sephadex beads. This study underscores the importance of comparing results obtained by various methods when examining susceptibility of hosts to their parasites.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.250

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 head0.013
GPT teacher head0.228
Teacher spread0.215 · 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

Citations8
Published2004
Admission routes2
Has abstractyes

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