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Record W4253036937 · doi:10.1385/1-59259-270-8:539

Gene Transfer in Avian Embryos Using Replication- Competent Retroviruses

2003· article· en· W4253036937 on OpenAlexaff
Cairine Logan, Philippa H. Francis‐West

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSubcloningBiologyRous sarcoma virusGenePlasmidVirologyGeneticsRetrovirusRepliconProvirusIntegraseMolecular biologyGenome

Abstract

fetched live from OpenAlex

A series of replication-competent, avian-specific retroviral vectors known as RCAS or RCAN have been developed by Hughes et al. ( 1 ) and used successfully by a rapidly expanding number of groups to assess gene function directly (e.g., refs. 2 – 14 ). These proviral vectors are derived from the Rous sarcoma virus and contain a unique Cla I restriction site in place of the region normally encoding the src oncogene, into which foreign DNA fragments of up to approx 2.4 kb can be inserted. An Escherichia coli plasmid backbone allows the gene of choice to be introduced by standard subcloning techniques, whereas retention of the viral long terminal repeat (LTR) sequences together with sequences encoding the viral gag, pol , and env genes facilitates viral replication and transmission. RCAN is a variant of RCAS from which the splice acceptor immediately upstream of the Cla I site has been removed preventing translation of the inserted gene and acts as a control for nonspecific effects owing to viral infection. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.046
GPT teacher head0.318
Teacher spread0.272 · 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

Citations9
Published2003
Admission routes1
Has abstractyes

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