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Peer Review #2 of "Vertical heterogeneity in predation pressure in a temperate forest canopy (v0.1)"

2013· peer-review· en· W4255064205 on OpenAlexaffabout
m ulyshen

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsMcGill University
Fundersnot available
KeywordsCanopyTemperate rainforestTemperate climateTemperate forestTree canopyPredationEnvironmental scienceEcologyGeographyAtmospheric sciencesBiologyGeologyEcosystem

Abstract

fetched live from OpenAlex

Vertical heterogeneity in predation pressure in a temperate forest canopyThe forest canopy offers a vertical gradient across which variation in predation pressure implies variation in refuge quality for arthropods.Direct and indirect experimental approaches were combined to assess whether canopy strata differ in ability to offer refuge to various arthropod groups.Vertical heterogeneity in impact of avian predators was quantified using exclosure cages in the understory, lower, mid, and upper canopy of a north-temperate deciduous forest near Montreal, Quebec.Bait trials were completed in the same strata to investigate the effects of invertebrate predators.Exclusion of birds yielded higher arthropod densities across all strata, although treatment effects were small for some taxa.Observed gradients in predation pressure were similar for both birds and invertebrate predators; the highest predation pressure was observed in the understory and decreased with height.Our findings support a view of the forest canopy that is heterogeneous with respect to arthropod refuge from natural enemies.

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)0.008
metaresearch head score (Gemma)0.072
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.370
Threshold uncertainty score0.899

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.072
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.003
Science and technology studies0.0040.001
Scholarly communication0.0070.003
Open science0.0030.003
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.3700.172

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 head0.029
GPT teacher head0.306
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes2
Has abstractyes

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