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Record W4297750086

Gestion des adventices dans les systèmes avec colza: Des couverts végétaux aux variétés tolérantes aux herbicides, en passant par le désherbage mécanique et l’utilité des adventices, voici les enjeux et pistes de solutions alternatives explorés par le groupement d’intérêt scientifique GC-HP2E.

2015· preprint· fr· W4297750086 on OpenAlexaff
Aïcha Ronceux, Frédérique Angevin, Guillaume Chancrin, Sabrina Gaba, Jean Lieven

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2015
Typepreprint
Languagefr
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsImpact
Fundersnot available
KeywordsBiology
DOInot available

Abstract

fetched live from OpenAlex

EA Pôle ECOLDUR AICHA RONCEUX*, Frédéri que ANGEVIN**, Gui llaume CHANCRIN***, Sabrina GABA** ** et Jean LIEVEN** ***, d’après leur communication sur la gestion des adventices en grandes cultures à la 5e conférence internationale sur les méthodes alternatives de protection des plantes de l’AFPP , à Lille, du 11 au 13 mars 2015.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.059
GPT teacher head0.272
Teacher spread0.213 · 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 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
Published2015
Admission routes1
Has abstractyes

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