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Record W2075990801 · doi:10.1139/g02-055

Direct capture and cloning of receptor kinase and peroxidase genes from genomic DNA

2002· article· en· W2075990801 on OpenAlexfundvenueno aff
Davis W. Cheng, Ken Armstrong

Bibliographic record

VenueGenome · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsnot available
FundersAgriculture and Agri-Food Canada
KeywordsBiologyGeneticsGeneCloning (programming)Molecular cloninggenomic DNAMolecular biologyComplementary DNA

Abstract

fetched live from OpenAlex

A direct DNA capture and cloning procedure with magnetic bead separation was used to isolate receptor kinase like and peroxidase genes from oat (Avena sativa) and wheat (Triticum aestivum L.) genomic DNA, respectively. In this procedure, the digoxigenin-labeled probe DNA and target genomic DNA fragments were mixed, denatured, and hybridized. The double-helix complexes formed were captured with anti-digoxigenin immunoglobulin-coated magnetic beads and then cloned into either the lambdaBlueSTAR or pUC18 vector. The effectiveness of this procedure was demonstrated by using two specific DNA probes to capture receptor-like kinase genes and surrounding sequences from oat genomic DNA and a peroxidase gene from wheat genomic DNA.

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)0.001
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.003

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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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

Citations3
Published2002
Admission routes2
Has abstractyes

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