MétaCan
Menu
Back to cohort
Record W140877168 · doi:10.1385/1-59259-753-x:123

BAC Engineering for the Generation of ES Cell-Targeting Constructs and Mouse Transgenes

2004· article· en· W140877168 on OpenAlexaff
Giuseppe Testa, Kristina Vintersten, Youming Zhang, Vladimı́r Beneš, Joep P. P. Muyrers, A. Francis Stewart

Bibliographic record

VenueHumana Press eBooks · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
Fundersnot available
KeywordsTransgeneBiologyCell biologyComputational biologyGeneticsGene

Abstract

fetched live from OpenAlex

Bacterial artificial chromosomes (BACs) have become a central tool in functional genomics. This is due to their average cloning capacity (around 150 Kb), which can accommodate most eukaryotic genes along with their full set of regulatory elements, and to their greater convenience in handling over other large cloning vectors like P1-based artificial chromosomes (PACs) and yeast artificial chromosomes (YACs). Two key advances for harnessing the full power of BACs have been the development of methods to modify them with precision and ease (see below), and the ability to use them for transgenesis in higher model organisms, like mouse and zebrafish (for review, see (1)).

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 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 score0.016
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.030
GPT teacher head0.247
Teacher spread0.217 · 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 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

Citations26
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueHumana Press eBooksSame topicViral Infectious Diseases and Gene Expression in InsectsFrench-language works237,207