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Record W1498120780

L'environnement des éricacées des forêts de l'est du Québec

2007· article· fr· W1498120780 on OpenAlexaboutno aff
Caroline Laberge Pelletier

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsForestryGeography
DOInot available

Abstract

fetched live from OpenAlex

L’objectif principal de l’inventaire ecologique realise est la caracterisation des sites avec presence d’ericacees : Rhododendron groenlandicum, Vaccinium sp. et Kalmia angustifolia, des forets de la Cote-Nord, ainsi que de comprendre davantage leurs exigences ecologiques. Quatre-vingt-dix-sept sites ont ete etudies au nord de Baie-Comeau, tous provenant de pessieres noires a mousses (Picea mariana) vierges. Le Rhododendron est l’espece ericacee dont le recouvrement moyen du parterre forestier est le plus important suivi par les Vaccinium et le Kalmia. Leur presence a ete associee aux pessieres noires ouvertes et aux sols acides, de textures grossieres et pauvres en elements nutritifs. Leur recouvrement diminuait avec la dominance des sapins (Abies balsamea). Quatre associations vegetales ont ete identifiees. L’une d’elles regroupait les trois especes d’ericacees et trois especes de Cladina. Les resultats de cette recherche pourront aider a classifier les sites selon leur niveau de vulnerabilite a l’envahissement par les plantes ericacees apres coupe forestiere.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.215
Teacher spread0.193 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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Same topicAfrican Botany and Ecology StudiesFrench-language works237,207