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Record W2162835908 · doi:10.1139/g03-025

AFLP data and the origins of domesticated crops

2003· article· en· W2162835908 on OpenAlexvenueno aff
Robin G. Allaby, Terence A. Brown

Bibliographic record

VenueGenome · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDomesticationAmplified fragment length polymorphismBiologyMonophylyPopulationEvolutionary biologyPlant geneticsCropBotanyGeneticsPhylogeneticsAgronomyGeneCladeGenome

Abstract

fetched live from OpenAlex

Amplified fragment length polymorphism (AFLP) datasets have been used to construct neighbor-joining trees from which monophyletic origins for crops such as einkorn wheat, barley, and emmer wheat have been inferred. We simulated several different multiple domestication scenarios for an imaginary cereal crop and examined the resulting domesticated populations. The simulations showed that the population biology aspects of the domestication process can result in independently domesticated populations merging in such a way that a monophyletic origin is erroneously inferred when the resulting population is examined by AFLP genotyping a nd neighbor-joining analysis. The resultsbring into question the use of this method to infer the origins of real crops.

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 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 score0.958
Threshold uncertainty score0.192

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 head0.017
GPT teacher head0.246
Teacher spread0.229 · 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 teacher head, 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

Citations62
Published2003
Admission routes1
Has abstractyes

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