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Record W6920875514 · doi:10.6084/m9.figshare.26559041

Additional file 3 of Large-diameter trees and deadwood correspond with belowground ectomycorrhizal fungal richness

2024· article· en· W6920875514 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsForest dynamicsSpecies richnessTransectDiameter at breast heightQuadratCrown (dentistry)Sequence (biology)NutrientExperimental forest

Abstract

fetched live from OpenAlex

Additional file 3: Figure S1. The distribution of fungal sequence count for soil samples taken at the Utah Forest Dynamics Plot, Utah, USA. The red horizontal line denotes the 12,500 sequence cutoff used to rarefy the sequence abundances. Figure S2. The interpolated mineral soil nutrients at the Utah Forest Dynamics Plot, Utah, USA. Figure S3. A principal coordinate analysis (PCA) of soil nutrients at the Utah Forest Dynamics Plot, Utah, USA. Soil nutrients were interpolated across the plot and the values at 117 sampling locations were used for this PCA. Figure S4. The diameter at breast height (1.37 m; cm) for all tree species with > 10 individuals at the Utah Forest Dynamics Plot, Utah, USA. Figure S5. The distribution of (A) observed fungal amplicon sequence variants (ASVs) and (B) Shannon’s Alpha diversity for soil samples taken at the Utah Forest Dynamics Plot, Utah, USA. The red horizontal lines in each panel mark the mean value. Figure S6. The species accumulation curves for all fungal amplicon sequence variants (ASV) (a), ectomycorrhizal fungi (b), and saprotrophic fungi (c) at the Utah Forest Dynamics Plot, Utah, USA. Figure S7. A fitted variogram of the semi-variance of the depth of the LFH layer (litter + duff) from 295 measurements across the Utah Forest Dynamics Plot, UT, USA. Figure S8. The estimated age of the forest at the Utah Forest Dynamics Plot, Utah, USA. Tree age was estimated using kriging interpolation of 127 trees. Figure S9. The increase in mean square error (a) and partial dependence plots (b) from a random forest model assessing the influence of the nearest large (>40.2 cm diameter at breast height) tree species on total fungal species richness at the Utah Forest Dynamics Plot, Utah, USA. Figure S10. The increase in mean square error (a) and partial dependence plots (b) from a random forest model assessing the influence of the nearest large (>40.2 cm diameter at breast height) tree species on saprotrophic fungal species richness at the Utah Forest Dynamics Plot, Utah, USA.

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)0.001
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8850.211

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 head0.014
GPT teacher head0.190
Teacher spread0.176 · 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.

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
Published2024
Admission routes1
Has abstractyes

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