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Record W2284267491 · doi:10.51791/njap.v8i1.2486

Factors Affecting The Indirect Immunoperoxidase Staining Of Infectious Bursal Disease Virus Antigens In Cells

2021· article· en· W2284267491 on OpenAlexaff
E N Okeke, G. Lang

Bibliographic record

VenueNigerian Journal of Animal Production · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicVector-Borne Animal Diseases
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsImmunoperoxidaseSerial dilutionInfectious bursal diseaseAntigenVirusVirologyIncubationIncubation periodBiologyAntibodyStainingConjugateImmunologyMedicineMonoclonal antibodyPathologyMathematicsVirulence

Abstract

fetched live from OpenAlex

THE application of the Immunoperoxidase (IP) antibody technique for the definitive diagnosis of Infectious Bursal Disease (IBD) in chickens has earlier been described (Okeke and Lang, 1982). During that study it was noted that the Indirect method of IP was more sensitive in the demonstration of IBD viral antigens than the direct method. Consequently, more formation was sought on the specific technical parameter and the consequences that resulted by deviations from the codified procedures employed in the Indirect technique with the aim of obtaining an even better result. Studies of pH, serum dilutions, serum incubation time, conjugate dilutions, conjugate incubation time and developing time were conducted to find out what Influence such factors could have on the final staining product.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.238
Teacher spread0.210 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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