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Single‐Feature Polymorphism Mapping in Bread Wheat

2009· article· en· W1981575121 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Plant Genome · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsVineland Research and Innovation CentreAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsDoubled haploidyBiologySyntenyOryza sativaGeneticsGenomeGene mappingPopulationGeneComputational biologyQuantitative trait locusChromosome

Abstract

fetched live from OpenAlex

Probe hybridization data from the Affymetrix GeneChip platform can be used to identify genetic polymorphisms. Developed from gene expression data, these single‐feature polymorphism (SFP) markers are located in or are tightly associated with gene sequences. Using two different methods to identify SFPs, 1035 and 875 SFPs were mapped in a segregating population of 64 doubled haploid lines from the Triticum aestivum L. cross RL4452 × ‘AC Domain’. Statistical associations between the SFP maps and the rice ( Oryza sativa L. ssp. japonica ) genome were in agreement with known cereal syntenic blocks, and the mapping data were corroborated by previously established physical locations for wheat expressed sequence tags. This approach allowed the rapid identification of markers from the genic regions of the complex hexaploid wheat genome.

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 score0.970
Threshold uncertainty score0.114

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 head0.029
GPT teacher head0.191
Teacher spread0.162 · 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