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Record W1992664803 · doi:10.1139/b06-115

Crown architecture development in <i>Salix</i> ‘Prairie Cascade’, a pendulous willow

2006· article· en· W1992664803 on OpenAlexafffundvenueabout
William R. Remphrey, Linda P. Pearn

Bibliographic record

VenueCanadian Journal of Botany · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsShootWillowLateral shootCuttingBiologySalicaceaeBotanyHorticultureHabitWoody plantAxillary bud

Abstract

fetched live from OpenAlex

This paper presents a longitudinal quantitative architectural study of Salix ‘Prairie Cascade’, a hardy pendulous willow cultivar developed for the Canadian Prairies. Trees were propagated from cuttings in 1993 and detailed measurements were obtained on amount of extension growth, orientation of shoots with respect to gravity, and the fate of buds and shoots until 2000. Instead of the mixed axis model of Champagnat typically ascribed to weeping willows, upright main-stem axes were constructed by vigorous, mostly distal shoots that remained more or less upright. The pendulous habit was largely the result of lateral shoots that were initially upright or semi-pendulous, drooping under their own weight to become pendulous. The pendulous habit was exacerbated by the weight of foliage. Sylleptic shoots were frequently incorporated into the main-stem axes. From original 1993 shoots, 40% of the buds developed into sylleptic shoots compared with 29% that developed into proleptic shoots. Two orders of sylleptic branching were often produced in one year. Willow is known for branch shedding but only 7% of ‘Prairie Cascade’ shoots were shed in the first year; however, more than half were gone by the third year and most of those remaining were located on the upper half of parent shoots.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.175
Teacher spread0.166 · 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 designObservational
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

Citations4
Published2006
Admission routes4
Has abstractyes

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