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Record W2141144274 · doi:10.2298/abs1004091k

Helminth fauna of Rattus norvegicus Berkenhout, 1769 from the Belgrade area, Serbia

2010· article· en· W2141144274 on OpenAlexaff
Dragan Kataranovski, Milena Kataranovski, Isidora Deljanin

Bibliographic record

VenueArchives of Biological Sciences · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsBiologyHymenolepis diminutaHelminthsCapillariaFaunaCestodaTrematodaParasite hostingVeterinary medicineZoologyJuvenileNippostrongylus brasiliensisTrichurisHymenolepis nanaEcologyCestode infections

Abstract

fetched live from OpenAlex

The aims of this study were to provide baseline knowledge about intestinal parasites in Norway rats (Rattus norvegicus) that inhabit the Belgrade area, and to analyze the associations among helminths. Of 302 trapped rats, 52% were females and 48% males, with 39% and approx. 37% of juvenile-subadult individuals, per sex, respectively. The following parasites were detected (with their respective prevalence): Cestoda - Hymenolepis diminuta (30.46%) and Rodentolepis fraterna (12.58%); Nematoda - Heterakis spumosa (36.75%), Nippostrongylus brasiliensis (16.22%), Capillaria sp. (5.96%), Trichuris muris (5.96%), Syphacia muris (4.30%) and Strongylus sp. larvae (0.33%). Flukes (Trematoda) were not recorded. Of all examined rats, 68.54% were found to harbor at least one parasite species, with higher prevalence in male hosts and in adult individuals. There were no age-related differences in the prevalence of infection with individual helminth species. Multiple infections occurred with up to four species per rat showing different combinations of parasite infections. These are the first records of the gastrointestinal helminth fauna of Norway rats in Serbia.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.089
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.311
Teacher spread0.280 · 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 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

Citations20
Published2010
Admission routes1
Has abstractyes

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