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Record W4213154825 · doi:10.4172/2155-9546.1000110

Infectious Salmon Anaemia Virus (ISAV) Ringtest: Validation of the ISAV Diagnositic Process using Virus-spiked Fish Tissues and ISAV TaqMan® Real-time RT-PCR

2011· article· en· W4213154825 on OpenAlexaff
Frederick S.B. Kibenge, Molly Kibenge, Elmabrok Masaoud

Bibliographic record

VenueJournal of Aquaculture Research & Development · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsTaqManHatcheryVirologyVirusBiologyFish <Actinopterygii>Veterinary medicineFisheryReal-time polymerase chain reactionMedicineGeneBiochemistry

Abstract

fetched live from OpenAlex

Fourteen laboratories validated their procedure for detection of infectious salmon anaemia virus (ISAV) in fish tissues using TaqMan® real-time RT-PCR targeting ISAV RNA segment 8. The participants included 12 laboratories from South America, one from Asia and one from Europe.The OIE Reference Laboratory for ISA at the Atlantic Veterinary College in Canada served as the standard.All laboratories received a panel of 36 blind-coded samples representing six different ISAV preparations in homogenized fish liver or L-15 medium, each in six replicates.A clearly positive control ISAV of known titer was also included.From the results obtained, the 14 laboratories that submitted results reported no false positives.False negatives were mostly observed in the ISAV-spiked fish liver homogenate samples.The lowest virus titer to be detected in the fish liver homogenate was 10 1 TCID 50 /ml, but the virus titer that could be detected accurately by most laboratories was 10 3 TCID 50 /ml in L-15 medium.Within those laboratories that accurately detected presence of virus in a sample, there was great variation in the C t values making it impossible to recommend a single cut-off C t value.A significant factor influencing the C t values obtained and therefore the diagnostic sensitivity might be the thermocycler software used.The repeatability of the test within each laboratory was high, but the reproducibility between laboratories was low.Presumably this could be improved if all the laboratories used the same RNA extraction method since the starting quality and the quantity of the RNA template is the main determinant of the quality of results once reagents have been optimized.The low reproducibility of the test between laboratories is also suggestive of the need to standardize the threshold fluorescence line of the thermocycler software and to use properly trained personnel to perform the test.

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)0.006
metaresearch head score (Gemma)0.005
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: Methods · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.005

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 head0.039
GPT teacher head0.312
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
GenreMethods

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

Citations3
Published2011
Admission routes1
Has abstractyes

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