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Record W2425794519 · doi:10.1385/0-89603-272-8:161

Production of Recombinant Baculoviruses Using Rapid Screening Vectors that Contain the Gene for β-Galactosidase

2003· review· en· W2425794519 on OpenAlexaff
Manon Lalumière, Christopher D. Richardson

Bibliographic record

VenueHumana Press eBooks · 2003
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsUniversity of TorontoBiotechnology Research Institute
Fundersnot available
KeywordsRecombinant DNABiologyVirologyRecombinant virusVirusGeneVector (molecular biology)BaculoviridaeComputational biologyGeneticsSpodoptera

Abstract

fetched live from OpenAlex

Baculovirus/insect cell expression systems have become a popular choice for the production of high levels of recombinant proteins (, , ). However, the identification and selection of the recombinant baculovirus have been difficult and time-consuming. Screening recombinant viruses and purifying virus containing the foreign gene away from contaminating wild-type virus can be laborious. The process can involve numerous rounds of plaque purification by using visual screening or hybridization techniques to detect recombinant plaques. A key complaint from newcomers to the field of baculovirology is that recombinant viral plaques are almost invisible in comparison to those produced by wild-type virus. Our laboratory has worked on the improvement and refinement of expression vectors for introducing recombinant baculovirus into insect cells (, , )

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.206
GPT teacher head0.370
Teacher spread0.164 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations16
Published2003
Admission routes1
Has abstractyes

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