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Record W4388138716 · doi:10.26525/jtfs2023.35.4.404

COMPARING GROWTH RING FEATURES OF MAHOGANY TREES AT THE FOREST’S EDGE AND IN THE INTERIOR

2023· article· en· W4388138716 on OpenAlexfundno aff
Chi-Jan Lin, PH Lin, C.-W. Chang, T-H Yang

Bibliographic record

VenueJOURNAL OF TROPICAL FOREST SCIENCE · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
FundersTaiwan Forestry Research InstituteTerry Fox Research Institute
KeywordsDendrochronologyGeographyForestryAgroforestryOld-growth forestBiologyArchaeology

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the growth ring features of mahogany (Swietenia macrophylla) trees at the forest's edge and in the interior.The results revealed that the trees at the forest's edge exhibited an increase in the average ring width and density components compared to those in the forest interior.The growth rings were found to exhibit a radial trend, with the width decreasing from the pith towards the 7 th ring (Rings A), then gradually decreasing towards the 20 th ring (Rings B), and finally remaining relatively consistent towards the outer bark (Rings C).Although the specimens from Ring A of trees at the forest's edge did not exhibit more growth than those of trees in the forest interior, Rings B and C specimens of trees at the forest's edge had more growth than those in the forest interior.Furthermore, the ring density of Rings A and C specimens of trees at the forest's edge did not show any significant difference compared to those of trees in the forest interior.Ring B tree specimens at the forest's edge displayed a higher ring density compared to those in the forest interior.

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)0.001
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 score0.044
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.034
GPT teacher head0.247
Teacher spread0.212 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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