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Record W4365397795 · doi:10.7202/1098173ar

Nouveaux regards sur les forêts de laminaires de l’île d’Anticosti

2023· article· fr· W4365397795 on OpenAlexafffundvenueabout
Stéphanie Roy, Romy Léger-Daigle, Raphaël Mabit, Simon Bélanger, Ladd E. Johnson, Christian Nozais, Fanny Noisette

Bibliographic record

VenueLe Naturaliste canadien · 2023
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsUniversité du Québec à RimouskiUniversité Laval
FundersCanadian Space AgencyFisheries and Oceans CanadaUniversité du Québec à Rimouski
KeywordsGeographyForestry

Abstract

fetched live from OpenAlex

Les forêts de laminaires sont des écosystèmes riches et productifs, longeant les côtes des zones tempérées à polaires. Dans les eaux du golfe du Saint-Laurent, les platiers rocheux de l’île d’Anticosti abritent des forêts de laminaires qui sont encore très peu caractérisées. En 2021 et en 2022, 2 échantillonnages en plongée sous-marine ont permis de caractériser les communautés de laminaires présentes sur 14 sites au sud-ouest de l’île d’Anticosti. Cinq espèces de laminaires ( Saccharina latissima , Alaria esculenta , Hedophyllum nigripes / Laminaria digitata , Agarum clathratum , Saccorhiza dermatodea ) ont été recensées, avec une grande variabilité d’assemblage entre les sites. Les densités (de 10 ± 5 à 99 ± 20 individus·m −2 ) et les biomasses (de 0,3 ± 0,1 à 6,4 ± 1,0 kg·m −2 ) étaient semblables à celles dans d’autres écosystèmes à laminaires de l’est du Canada. Des relations allométriques sur S. latissima ont permis de mettre en évidence des différences entre les sites, probablement dues aux conditions environnementales locales. Cette caractérisation des forêts de laminaires du sud-ouest de l’île d’Anticosti ouvre des perspectives sur le potentiel écologique et économique de cet écosystème.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.212
Teacher spread0.190 · 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 designNot applicable
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

Citations2
Published2023
Admission routes4
Has abstractyes

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