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Record W3135066507

Risques de dispersion des carpes asiatiques dans les tributaires du fleuve Saint-Laurent, Aspects théoriques, évaluation préliminaire de la franchissabilité des obstacles pour les carpes asiatiques et actions pouvant être mises en oeuvre pour contribuer à la protection des eaux intérieures

2019· article· fr· W3135066507 on OpenAlexaboutno aff
Rebecca Pouliot, Olivier Morissette

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
Fundersnot available
KeywordsGeography
DOInot available

Abstract

fetched live from OpenAlex

Les quatre especes de carpe asiatique sont des especes aquatiques envahissantes (EAE) qui representent une menace serieuse pour l’integrite ecologique du fleuve Saint Laurent et de ses tributaires. Bien que nous considerons que la carpe de roseau (Ctenopharyngodon idella) frequente les eaux du fleuve et de deux de ses tributaires, au moment de rediger ce rapport, son niveau d’abondance est inconnu. Quant aux trois autres especes, elles n’y ont pas ete detectees a ce jour. Il est donc encore possible d’agir pour prevenir l’arrivee ou la dispersion de ces especes dans les eaux interieures. La protection de ces eaux est d’ailleurs un des objectifs du Programme quebecois de lutte contre les carpes asiatiques. L’objectif du rapport est de proceder a une premiere evaluation des risques de dispersion des carpes asiatiques dans le fleuve Saint-Laurent et ses tributaires en considerant leur capacite pour franchir des obstacles artificiels et naturels entre le fleuve Saint-Laurent et l’amont des tributaires et, le cas echeant, d’evaluer les options pour freiner leur progression vers l’amont. L’evaluation des risques de dispersion implique aussi l’acquisition de connaissances sur les caracteristiques des habitats propices aux carpes asiatiques et de connaitre leur capacite de nage. Ces aspects sont egalement traites dans le rapport. Finalement, certaines options de gestion liees notamment a la configuration des obstacles sont proposees.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.708
Threshold uncertainty score0.580

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.268
Teacher spread0.252 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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