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Record W4301517272

Physical mapping of the wheat genome: A coordinated effort to lay the foundation for genome sequencing and develop tools for breeders

2007· article· en· W4301517272 on OpenAlexaff
Catherine Feuilleta, Kellye Eversole

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsGenome Canada
Fundersnot available
KeywordsGenomeFoundation (evidence)Computational biologyBiologyDNA sequencingGeneticsGeneGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The International Wheat Genome Sequencing Consortium (IWGSC) was launched in 2005 with the aim of developing the tools and resources for sequencing the hexaploid wheat genome and providing breeders with state-of-the-art tools for improving wheat. The mid-term goals are to develop a physical map of the 21 Chromosomes of bread wheat cv. Chinese Spring to accelerate map-based cloning and develop new markers, increase our knowledge about wheat genome organization, and assess Sequencing technologies. In this framework. the feasibility of constructing the physical map using a chromosome-based approach has been evaluated through the development of the physical map of chromosome 3B. This article provides an update on the different projects developed within the IWGSC to reach these goals as well as a progress report oil the construction of the 3B physical map.

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)0.010
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.228
Teacher spread0.201 · 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

Citations30
Published2007
Admission routes1
Has abstractyes

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