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Record W383442182 · doi:10.1079/9780851996936.0157

An allometric-Weibull model for interpreting and predicting the dynamics of foliage biomass on Scots pine branches.

2003· book-chapter· en· W383442182 on OpenAlex
Richard A. Fleming, T. R. Burns

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.

Bibliographic record

VenueCABI Publishing eBooks · 2003
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicForest ecology and management
Canadian institutionsCanadian Forest Service
Fundersnot available
KeywordsScots pineWeibull distributionAllometryBiomass (ecology)MathematicsStatisticsPinus <genus>BiologyEcologyBotany

Abstract

fetched live from OpenAlex

The foliar biomass dynamics on the branches of young, open-grown, Scots pine (Pinus sylvestris) in Sweden were modelled as functions of branch length and age. These dynamics are rooted in a biological foundation by assuming that foliage production depends allometrically on branch length and that foliage survival on a branch follows an age-dependent Weibull distribution. Like previously constructed descriptive models, the more process-based model developed here fitted the data well. In contrast to these purely descriptive models, however, this more process-based model demonstrated some predictive ability when extrapolated, and produced biologically meaningful parameter estimates.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.015
GPT teacher head0.218
Teacher spread0.203 · 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