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Record W2556707511 · doi:10.7202/1037937ar

La méduse d’eau douce Craspedacusta sowerbii : espèce exotique répandue dans les lacs du Québec

2016· article· fr· W2556707511 on OpenAlex
Nadia El Moussaoui, Beatrix E. Beisner

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLe Naturaliste canadien · 2016
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHumanitiesForestryArtGeography

Abstract

fetched live from OpenAlex

Au cours des dernières décennies, les signalements de Craspedacusta sowerbii , une espèce de méduse d’eau douce, ont augmenté dans les lacs tempérés d’Amérique du Nord. Cette espèce exotique envahissante, originaire de Chine, est une de celles qui envahissent les lacs du Québec. Dans cet article, nous examinerons et résumerons des informations tirées d’une variété de sources portant sur cette espèce de méduse et présenterons des informations sur sa taxonomie, son cycle de vie, sa physiologie et son mode de reproduction. Nous discuterons également des facteurs environnementaux pouvant influencer la répartition de l’espèce, de la taille des populations et du rôle de ses différents stades de vie dans la chaîne alimentaire lacustre. L’objectif de cet article est de mieux comprendre cette espèce dont la présence est de plus en plus remarquée au Québec.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.014
GPT teacher head0.191
Teacher spread0.177 · 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