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Record W1966957595 · doi:10.1139/z05-076

Seasonal decline in nestling cellular immunocompetence results from environmental factors — an experimental study

2005· article· en· W1966957595 on OpenAlexvenueno aff
Anna Dubiec, Mariusz Cichoń

Bibliographic record

VenueCanadian Journal of Zoology · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyParusHatchingImmunocompetenceCyanistesEcologyPhytohaemagglutininZoologyBroodImmune systemAvian clutch sizeSeasonal breederReproductionImmunology

Abstract

fetched live from OpenAlex

In a seasonal environment, immune function in bird nestlings has been reported to decline with hatching date. Two groups of factors are expected to contribute to this decline: (1) seasonal deterioration of environmental conditions, e.g., food availability, and (2) differences in individual quality between parents breeding early and late in the season. To distinguish between these effects, an experimental manipulation of hatching date in great tits (Parus major L., 1758) was conducted. Whole clutches were swapped between pairs of nests with a 6-day difference in expected hatching date, while some nests remained nonmanipulated, constituting a control group. Nestling T-cell-mediated immune response to phytohaemagglutinin was negatively related to hatching date both within nonmanipulated control broods and all broods pulled together. Experimental change in hatching date produced changes in nestling immune response, as predicted from the seasonal trend observed in the control nests. Male and female nestlings did not differ in the level of immune response and the seasonal decline in immune response did not differ between sexes. Our results indicate that the seasonal decline in nestling immune function may be driven by date-dependent environmental conditions rather than differences in parental quality.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.229
Teacher spread0.203 · 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 designBench or experimental
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

Citations20
Published2005
Admission routes1
Has abstractyes

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