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Record W1972277497 · doi:10.1577/h06-045.1

Evaluation of a Reverse Transcriptase Polymerase Chain Reaction Test and Virus Isolation on Field Samples Collected for the Diagnosis of Infectious Hematopoietic Necrosis Virus in Cultured Atlantic Salmon in British Columbia

2008· article· en· W1972277497 on OpenAlexafffundabout
Carol McClure, Sonja Saksida, Grace A. Karreman, J. Constantine, John Robinson, G. S. Traxler, K. Larry Hammell

Bibliographic record

VenueJournal of Aquatic Animal Health · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsMinistry of AgricultureGovernment of British ColumbiaMinistry of HealthFisheries and Oceans CanadaBC Centre for Aquatic Health SciencesUniversity of Prince Edward Island
FundersBritish Columbia Innovation CouncilBritish Columbia Ministry of Agriculture and Lands
KeywordsBiologyVirologyReverse transcriptasePolymerase chain reactionVirusInfectious hematopoietic necrosis virusIsolation (microbiology)Reverse transcription polymerase chain reactionHuman immunodeficiency virus (HIV)Virus isolationFish <Actinopterygii>MicrobiologyGeneFisheryMessenger RNAGenetics

Abstract

fetched live from OpenAlex

Infectious hematopoietic necrosis virus (IHNV) has been found to cause disease in cultured salmon of the Pacific Northwest region of North America. Diagnosis of IHNV by virus isolation (VI) can take over 2 weeks. Recently, a rapid reverse transcriptase (RT) polymerase chain reaction (PCR) test on fish tissues has been used for diagnosis. Test performances of the VI and RT PCR assays were compared using samples collected in the field. The effect of different storage conditions (tissue frozen with or without RNAlater [Ambion, Inc., Austin, Texas] versus fresh tissue) on the diagnostic tests was also evaluated. Based on the limited number of samples tested, the operating characteristics of RT PCR were very similar to those of VI; therefore, this method is likely suitable for testing field samples for IHNV. The ability of the tests to identify a positive fish ranged from 74% to 89%. Freezing samples at -80 degrees C before testing did not negatively affect the performance of RT PCR or VI. However, due to reduced test performance, RNAlater frozen storage is not recommended without further investigation.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0000.000

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 head0.044
GPT teacher head0.315
Teacher spread0.271 · 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 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

Citations9
Published2008
Admission routes3
Has abstractyes

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