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Record W1432022689

Molecular characterization of fowl adenovirus serotype 4 (FAV-4) isolate associated with fowl hydropericardium-hepatitis syndrome in Pakistan.

2009· article· en· W1432022689 on OpenAlexaboutno aff
Muhammad Khalid Mansoor, Iftikhar Hussain, Muhammad Arshad, Ghulam Muhammad, Muhammad Hammad Hussain, Muhammad Shahid Mehmood

Bibliographic record

VenuePakistan Journal of Zoology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyHomology (biology)SerotypeVirologyNucleic acid sequenceVirusGeneSequence analysisGenetics
DOInot available

Abstract

fetched live from OpenAlex

A study was conducted to characterize local fowl adenovirus serotype 4 (FAV-4) associated with hydropericardium syndrome (HPS) at molecular level. For this purpose, chicken livers naturally infected with HPS virus were aseptically collected from a field outbreak in commercial broilers from Faisalabad, Pakistan. Virus purification was done using a 15-45% (w/v) sucrose gradient. Virus was confirmed by agar gel precipitation test. Viral DNA was extracted and variable region hexon gene of 0.7 kb in size was amplified by PCR and sequenced. Nucleotide sequence (730 bp) and deduced amino acid sequence (243) of isolate was compared with already published sequences of FAV4. Sequence analysis of the variable region hexon gene confirmed that the virus belonged to avian adenovirus serotype 4. The nucleotide sequence of the Pakistani isolate had a 94% to 98% homology with Indian isolates, 97% homology with Belgium and Russian isolates and 96% homology with Canadian isolate. The amino acid sequences of the Pakistani isolate had an almost 87% to 98% homology with Indian, 92% and 95% homology with Belgian, 96% homology with Russian and 95% homology with Canadian isolate.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.282
Teacher spread0.273 · 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 designBench or experimental
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
Published2009
Admission routes1
Has abstractyes

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