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Record W2002722848 · doi:10.1614/ws-09-004.1

Ecological Differentiation among Genotypes of Dandelions (<i>Taraxacum officinale</i>)

2009· article· en· W2002722848 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWeed Science · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDandelionBiologyTaraxacum officinaleApomixisBiological dispersalPopulationGenotypeEcologySeed dispersalGenetic variationPloidyDemographyGenetics

Abstract

fetched live from OpenAlex

We tested for ecological differences among apomictic dandelion genotypes in Vancouver, British Columbia, Canada, in order to establish a basis for predicting potential ecological consequences of genetic variation in invading populations. A greenhouse experiment on 30 potential clonal families revealed significant among-family variation for leaf morphological traits, and molecular analyses confirmed the presence of multiple genotypes. In a field common-garden experiment on six confirmed genotypes, plant size and seed production both varied over an order of magnitude among genotypes, suggesting great potential for selection among genotypes during invasion. Genotypes also varied significantly in the timing of reproduction, which may indicate differences in the timing of resource use that could promote population performance of genotype mixtures. There was no evidence of a trade-off between adult plant fitness and seed dispersal or regeneration traits. Genetic variation in dandelion populations appears to have great potential for influencing their invasive success.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.355

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 studies0.0000.001
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 head0.007
GPT teacher head0.227
Teacher spread0.220 · 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