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Record W3153378989 · doi:10.15454/nfsr-jw66

CRUCIAL - Services écosystémiques produits par les cultures intermédiaires multiservices de légumineuses et de crucifères.

2021· article· en· W3153378989 on OpenAlexfundno aff
Antoine Couëdel, Lionel Alletto, Éric Justes

Bibliographic record

VenueAgritrop (Cirad) · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsnot available
FundersInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementRégion Occitanie Pyrénées-MéditerranéeMinistry of Agriculture - Saskatchewan
KeywordsForestryGeography

Abstract

fetched live from OpenAlex

Crucifers and legumes multi-services cover crop mixtures are an effective solution to mutualize ecosystem services related to nitrogen and sulphur cycle while providing a high biocontrol potential on soil-born pathogens. Mixtures provide the same nitrate and sulfate catch crop services and increase the nitrogen recycling green manure service compared to crucifers alone. Biocontrol potential of crucifer cover crops was assessed through their glucosinolate (GSL) production (profile and concentration) which vary according to the species but not among cultivars of the same species. In field conditions aliphatic GSL produced by forage radish seems to reduce incidence and severity of Verticillium dahliae on sunflower. No mortality or flight on wireworm effect from crucifers was highlighted on Agriotes sordidus wireworm of maize. Ethiopian mustard seed meal significantly increased wireworm mortality in controlled conditions.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.269
Teacher spread0.250 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAgritrop (Cirad)Same topicAgronomic Practices and Intercropping SystemsFrench-language works237,207