MétaCan
Menu
Back to cohort
Record W2121610239 · doi:10.4322/rbpv.018e1017

Struthiolipeurus rheae Harrison, 1916 (Phthiraptera: Philopteridae) infestando avestruzes (Struthio camelus) em uma criaÇão no Município de Três Rios, RJ

2009· article· pt· W2121610239 on OpenAlexaboutno aff
Thais Ferreira Fagundes, Carla Alves Soleiro, R. de C. A. A. de Menezes

Bibliographic record

VenueRevista Brasileira de Parasitologia Veterinária/Brazilian Journal of Veterinary Parasitology · 2009
Typearticle
Languagept
FieldImmunology and Microbiology
TopicBird parasitology and diseases
Canadian institutionsnot available
Fundersnot available
KeywordsFeatherBiologyStruthioVeterinary medicineInfestationLouseAnimal scienceZoologyHorticultureAnatomy

Abstract

fetched live from OpenAlex

In Brazil ostriches farming began at the end of 20th Century, to supply the international market of meat, feathers and leather. Feathers are economically important to industry and artisanal sectors. Lice can cause intense pruritus that depending on the intensity of infestation can lead to depreciation of feathers. In Rio de Janeiro there are unknown species of lice infesting ostriches. Thus the objective of this study was to identify the lice that happen in birds from commercial farms in the Municipality of Três Rios. From 2003 to 2006 ostriches were monthly examined for the presence of ectoparasites. When infestations were detected some feathers were removed, placed into plastic bags and sent to the laboratory for further analysis. After removed from feathers, ectoparasites were examined using a stereoscope, followed by clarification in 10% potassium hydroxide and dehydrated in ethanol. Permanent slides were mounted in natural Canada balsam for observation in optical microscope. Based on observed characteristics, it was possible to determine that collected specimens belong to the species Struthiolipeurus rheae.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0010.002
Open science0.0050.001
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0020.002

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 head0.030
GPT teacher head0.334
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de Parasitologia Veterinária/Brazilian Journal of Veterinary ParasitologySame topicBird parasitology and diseasesFrench-language works237,207