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Record W2087306951 · doi:10.1139/g05-065

5S rDNA gene diversity in tea (<i>Camellia sinensis</i> (L.) O. Kuntze) and its use for variety identification

2006· article· en· W2087306951 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGenome · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYeasts and Rust Fungi Studies
Canadian institutionsnot available
FundersCouncil of Scientific and Industrial Research, India
KeywordsCamellia sinensisBiologyGenomeGeneticsGeneRestriction enzymePhylogenetic treeCamelliaTheaceaeBotany

Abstract

fetched live from OpenAlex

Variability in the organization of repeats of 5S rDNA is useful for phylogenetic studies in various crops. We found variable repeats of 5S rDNA gene in the genome of tea (Camellia sinensis (L.) O. Kuntze) during Southern hybridization. Variability in the repeats of 5S rDNA with specific restriction endonucleases (Sau3AI, BamHI, and ApoI) was analyzed in 28 different tea clones representing 3 types of tea. Our results clearly show that the 5S rDNA gene in tea could be used as a molecular marker to distinguish C. sinensis Chinary tea from the other important types of tea, namely Assamica and Cambod. Upon analysis with restriction endonucleases, the 5S rDNA gene in the tea genome was found to be heavily methylated.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.383

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 head0.014
GPT teacher head0.214
Teacher spread0.200 · 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