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Record W2403815424

Taxonomic, ecological and quantitative examination of chewing lice (Insecta: Phthiraptera) on Canada geese (Branta canadensis) and mallards (Anas platyrhynchos) in Manitoba, Canada

2014· dissertation· en· W2403815424 on OpenAlexaboutno aff
Alexandra A. Grossi

Bibliographic record

VenueMspace (University of Manitoba) · 2014
Typedissertation
Languageen
FieldImmunology and Microbiology
TopicBird parasitology and diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAnasBiologyWaterfowlAnatidaeBrantaEcologyZoologyAythyaGooseFisheryHabitat
DOInot available

Abstract

fetched live from OpenAlex

Over 19 years chewing lice data from Canada geese and mallards were collected. From Canada geese (n=300) 48,669 lice were collected, including Anaticola anseris, Anatoecus dentatus, Anatoecus penicillatus, Ciconiphilus pectiniventris, Ornithobius goniopleurus, and Trinoton anserinum. The prevalence of all lice on Canada geese was 92.3% and the mean intensity was 175.6 lice per bird. From mallards (n=269) 6,986 lice were collected which included: Anaticola crassicornis, A. dentatus, Holomenopon leucoxanthum, Holomenopon maxbeieri and Trinoton querquedulae. The prevalence of lice on mallards was 55.4% and the mean intensity was 42.0 lice per bird. Based on CO1, A. dentatus and Anatoecus icterodes were synonymised as A. dentatus. Anatoecus was found exclusively on the head, Anaticola was found predominantly on the wings, Ciconiphilus, Holomenopon and Ornithobius were observed in several body regions and Trinoton was found most often on the wings of mallards.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.016
GPT teacher head0.199
Teacher spread0.183 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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