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Record W2137029303 · doi:10.5539/ijb.v3n4p79

Determination of the Prevalence of Chlamydia psittaci by PCR in Iranian Pigeons

2011· article· en· W2137029303 on OpenAlexvenueno aff
Abbas Doosti, Asghar Arshi

Bibliographic record

VenueInternational Journal of Biology · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsnot available
FundersIslamic Azad University, ShahrekordIslamic Azad UniversityIslamic Azad University of Shahrekord
KeywordsChlamydia psittaciFecesChlamydiaPsittacosisBiologyOutbreakEpizooticVirologyMicrobiologyImmunology

Abstract

fetched live from OpenAlex

Many areas in Iran such as parks and gardens can be highly contaminated with pigeon feces. Chlamydia psittaci is a lethal bacterial that causes endemic avian chlamydiosis, epizootic outbreaks in mammals, and respiratory psittacosis in humans. Chlamydia psittaci strains in birds infect mucosal epithelial cells and macrophages of the respiratory tract. The aim of this study was to determination of prevalence of Chlamydia psittaci in feces of pigeons in Iran using PCR assay. DNA was extracted from 445 fecal samples of pigeons. The prevalence of this pathogen was 14.3% in region of this study. These results indicate that pigeon feces are a source of several zoonotic agents for humans, bird and animals. We suggested that continuous surveys can estimate, and thus help to minimize the risk of humans contracting diseases from pigeons. Keywords: Chlamydia psittaci, pigeon, PCR

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.316
Teacher spread0.286 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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