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Record W161269928 · doi:10.2144/03341st06

Extraction of PCR-Quality Plant and Microbial DNA from Total Rumen Contents

2003· article· en· W161269928 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBioTechniques · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsRumenDNA extractionDNABiologyPolymerase chain reactionExtraction (chemistry)PopulationBacteriaChromatographyMicrobiologyBiochemistryChemistryGeneGeneticsFermentation

Abstract

fetched live from OpenAlex

DNA from rumen digesta has several diagnostic applications such as studying microbial community dynamics, transgene/DNA stability, and population typing of various rumen bacteria. Several DNA extraction procedures are described in the literature for rumen digesta, which describe the removal of tannins, polysaccharides, and other PCR inhibitors. Some of these protocols are time-consuming and impractical when handling a large number of samples routinely. Here we describe a rapid method for the extraction of PCR-quality plant and microbial DNA from total rumen contents that is based on modifications in the cetyltrimethylammonium bromide procedure followed by cleanup using a Qiagen column. This procedure is highly reproducible and relatively short, once the initial grinding of the samples is performed, and it consistently yields PCR-quality 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.

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 score0.036
Threshold uncertainty score0.441

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 head0.018
GPT teacher head0.290
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