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Record W2507456644 · doi:10.1139/z00-079

Red blood cell and white blood cell counts in sandpipers (<i>Philomachus pugnax</i>, <i>Calidris canutus</i>): effects of captivity, season, nutritional status, and frequent bleedings

2000· article· en· W2507456644 on OpenAlexvenueno aff
Theunis Piersma, Anita Koolhaas, Anne Dekinga, Eberhard Gwinner

Bibliographic record

VenueCanadian Journal of Zoology · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBird parasitology and diseases
Canadian institutionsnot available
FundersKoninklijk Nederlands Instituut voor Onderzoek der Zee
KeywordsHematocritBiologyCaptivityPlumageCalidrisCharadriiformesFlockBird flightAnimal scienceZoologyRed blood cellMoultingSeasonal breederEcologyRed CellPredationEndocrinologyInternal medicineImmunology

Abstract

fetched live from OpenAlex

Captive ruffs (Philomachus pugnax) and red knots (Calidris canutus) kept in small flocks in outdoor aviaries maintained body mass and plumage cycles resembling those of free-living conspecifics. The persistence of identifiable annual cycles enabled us to study variability in two blood parameters, one a measure of red blood cell count (hematocrit) and the other an index of white blood cell (WBC) abundance (percentage). In both species hematocrit values averaged 0.43, somewhat lower than those measured in free-living red knots. Hematocrit varied little with time of year and we were unable to convincingly confirm predicted elevated hematocrit levels during periods of storage of fat for migration. In both species the percentage of WBCs (percent WBCs) initially declined from 0.6 to 0.8%; levels stabilized at 0.4% in ruffs and 0.3% in red knots after half a year in captivity. Using observations of the same individual red knots in the years before and after the experimental year as controls, biweekly extraction of about 30% of blood volume did not negatively affect seasonal changes in body mass and moult and breeding-plumage cycles. In nutritionally stressed red knots, hematocrit levels were low, and in these birds only, the small wounds inflicted by bleeding healed with difficulty.

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 score0.036
Threshold uncertainty score0.947

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.183
Teacher spread0.180 · 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

Citations37
Published2000
Admission routes1
Has abstractyes

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