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Record W2098606827 · doi:10.7202/705978ar

Évaluation au Québec d’un modèle de prédiction de la fin de la période annuelle d’éjection des ascospores du Venturia inaequalis.

2005· article· fr· W2098606827 on OpenAlexaffvenueabout
Marc St‐Arnaud, Peter Neumann

Bibliographic record

VenuePhytoprotection · 2005
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicFungal Plant Pathogen Control
Canadian institutionsQuebec Society for the Protection of PlantsEspace pour la vieUniversité de Montréal
Fundersnot available
KeywordsBiology

Abstract

fetched live from OpenAlex

Un modèle de prédiction de la fin de la période des éjections d'ascospores du Venturia inaequalis , développé à partir de données recueillies au New Hampshire, a été évalué dans sept localités de pomoculture québécoise, entre 1981 et 1987. Pour Frelighsburg 1983 et Saint-Joseph-du-Lac 1982, à la date à laquelle le modèle a estimé le niveau de 100% d'ascospores matures, les valeurs observées n'ont pas différé significativement des estimés; dans tous les autres cas, les valeurs observées ont été significativement inférieures aux estimés avec une différence variant entre 4,2 % et 35,4 %. Le modèle a aussi prédit trop tôt la fin de la période d'éjection des ascospores dans 12 cas sur 16, alors qu'il restait entre 14% et 70% des ascospores dans les pseudothèces.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.413
Threshold uncertainty score0.830

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.023
GPT teacher head0.229
Teacher spread0.206 · 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

Citations7
Published2005
Admission routes3
Has abstractyes

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