MétaCan
Menu
Back to cohort
Record W3198513741

Advances in Rye Genome Research

2020· article· en· W3198513741 on OpenAlexvenueno aff
Jie Zhang, Jianhui Li, Jia Xuan, Renxiang Cai

Bibliographic record

VenueTriticeae Genomics and Genetics · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsSecaleGenomeBiologyGeneticsReference genomeSequence assemblyShotgun sequencingGenomicsGeneAgronomy
DOInot available

Abstract

fetched live from OpenAlex

Rye is a cereal crop belonging to Secale of the family of Gramineae with the Latin name as Secale cereale L., which is a staple ingredient in bread for European people, especially in the middle ages. Compared to wheat and barley, which obtained higher quality genomic data for genome-wide sequencing, genomic sequencing of rye has progressed slowly. Recently, a number of scientific research units such as the Technical University of Munich have used a genome-wide shotgun sequencing method to assemble a full-length 7.9 Gbp winter rye inbred line Lo7 genome and to construct a whole-genome draft sequence with a total length of 2.8 Gbp. Based on the homology of genome draft, this genome assembly predicted 27 784 rye gene models. By resequencing 10 rye inbred lines and a wild rye variety Secale vavilovii , 8 626 622 single nucleotide variants (SNV) were found. Based on these variant markers, the researchers developed a high-density Rye600k genotyping array containing 600 843 markers to characterize the diversity of rye breeding pools and genetic resources.

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.071
GPT teacher head0.295
Teacher spread0.224 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueTriticeae Genomics and GeneticsSame topicWheat and Barley Genetics and PathologyFrench-language works237,207