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Record W4244727846 · doi:10.1128/9781555819217.ch29

Transposons Tn<i>10</i> and Tn<i>5</i>

2015· book-chapter· he· W4244727846 on OpenAlexaff
David B. Haniford, Michael J. Ellis

Bibliographic record

VenueASM Press eBooks · 2015
Typebook-chapter
Languagehe
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsWestern University
Fundersnot available
KeywordsTn10Transposable elementTransposaseTransposition (logic)Insertion sequenceDNATransposeGeneticsSleeping Beauty transposon systemBiologyGenePhysicsMathematicsGenome

Abstract

fetched live from OpenAlex

Tn 10 and Tn5 are composite bacterial transposons (Fig. 1). Both these transposons, as well as their respective IS elements (IS10 and IS50), transpose by a nonreplicative cut-and-paste mechanism. Tn10/IS10was the first bacterial transposon shown to transpose by the cut-and-paste mechanism and as such provided an early model for this mode of transposition (1,2). In cut-and-paste transposition the transposon is first excised from flanking donor DNA by a pair of transposase-catalyzed double-strand breaks at each transposon end after which the excised transposon is inserted into a target site. Host repair of the transposon-target DNA junction completes the transposition process and leaves a characteristic target-site duplication.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0450.026

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 head0.080
GPT teacher head0.238
Teacher spread0.158 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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