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Record W2039175937 · doi:10.4141/s99-055

Impact de produits phytopharmaceutiques sur les microarthropodes du sol en culture de maïs irrigué: approche fonctionnelle par la méthode des sacs de litière

2000· article· en· W2039175937 on OpenAlexvenueno aff
Jérôme Cortet, Nicole Poinsot-Balaguer

Bibliographic record

VenueCanadian Journal of Soil Science · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsnot available
Fundersnot available
KeywordsSoil mesofaunaColonizationLitterCarbofuranFipronilBiologyForestryHorticultureSoil biologyPesticideAgronomySoil waterEcologyGeography

Abstract

fetched live from OpenAlex

The effects of two herbicides (atrazine and alachlore) and two insecticides (fipronil and carbofuran) were evaluated on soil mesofauna and organic matter decomposition, in a maize field with normal culture conditions, using the litter-bag method. The litter-bag method was discussed and considered to be adapted for this type of in situ study, especially under normal culture conditions, where it is difficult to find real control plots. However its adaptability is conditioned by some utilisation factors. The litter-bag colonization and modifications of this colonization by phytopharmaceuticals were interpreted using functional groups classification. Except for alachlore, herbicides appeared to have no differentiated effect on mesofauna. Accordingly, fipronil significantly affects the dynamics of bag colonization by selected groups belonging to soil mesofauna. Key words: Phytopharmaceuticals, maize, soil microarthropods, functional groups, trophic relationships, litter-bags

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 score0.408
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.027
GPT teacher head0.252
Teacher spread0.225 · 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

Citations13
Published2000
Admission routes1
Has abstractyes

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