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Record W6943462608 · doi:10.15468/hm49kv

EMBRAPA FLORESTAS | Soil macrofauna communities in various land use systems in Itatinga, São Paulo, Brazil

2023· dataset· en· W6943462608 on OpenAlexaff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsAcacia mangiumEucalyptusAcaciaLitterLoamLand usePlant litterSoil fertility

Abstract

fetched live from OpenAlex

Soil macrofauna communities were evaluated in February 2014 in a number of land use systems in Itatinga, São Paulo state, Brazil. At the University of São Paulo Forestry Department Experimental Station, the following land uses were studied: 1) a mixed Eucalyptus grandis and Acacia mangium tree plantation; 2) an Acacia mangium tree plantation; 3) a Eucalyptus grandis tree plantation; and 4) a semi-deciduous native Atlantic Forest fragment. At a private farm in the Distrito de Lobo, the following land uses were sampled: 1) a mixed Eucalyptus grandis and Acacia mangium tree plantation; 2) an Acacia mangium tree plantation; 3) a Eucalyptus grandis tree plantation; 4) a sugarcane plantation; and 5) a permanent pasture. At the Fazenda Americana of the Duratex Company, a Eucalyptus sp. plantation was sampled on two soil textural types: a sandy clay loam and a clay loam. Samples were taken using the standard methodology of the Tropical Soil Biology and Fertility Programme (TSBF), where soil (down to 20 cm depth) and litter fauna were hand-sorted from monoliths of 25x25 cm, and the abundance of a total of 42 taxa was assessed.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.361
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.361

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 head0.028
GPT teacher head0.245
Teacher spread0.217 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2023
Admission routes1
Has abstractyes

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