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Record W2366361491

Study on Types of Environment,Spatial Ditribution and Sampling of Red Imported Fire Ant Solenopsis invicta Buren Active Mounds in Wuchuan,Guangdong Province

2006· article· en· W2366361491 on OpenAlexaff
Yijuan Xu

Bibliographic record

VenueHuazhong Nongye Daxue xuebao · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsRed imported fire antSampling (signal processing)Fire antForestryEnvironmental scienceGeographyBiologyHymenopteraEcologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Types of environment,spatial distirbution and optimum therotical sampling quantity of active mounds of red improted fire ant Solenopsis invicta Buren in Wuchuan,Guangdong Province were studied with data collected from different types of environments and some parameters of spatial pattern.The results showed that active mound density of red imported fire ant were very high at those non or rarely disturbed places while the density was very low at the farm often operated such as rice,vegetable,peanut,sweet potato.Some parameters m*,I,m*/m,C_(A) and K of spatial pattern revaealed that active mounds distributed radomly at horizontal space.Iwao m~(*)-m model and Taylor power model were built up between m* and m.According to the two models above,the basic unit at space was individual of active mound and the basic units interfered each other.The spatial distribution of active mounds was more uniform with higher density of active mounds.Optimum therotical sampling quantity for active mound was given based on the Iwao m~(*)-m model.Suitable sample technology was discussed.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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 designBench or experimental
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

Citations3
Published2006
Admission routes1
Has abstractyes

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