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Record W2189068976

Environmental impact assessment and black, watch and alert list classification after the ISEIA Protocol of vertebrates in Luxembourg

2014· article· en· W2189068976 on OpenAlexaboutno aff
Christian Ries, Manou Pfeiffenschneider, Edmée Engel, Jean-Claude Heidt, Max Lauff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyRound gobyNeogobiusEcologyIntroduced speciesWildlifeZoologyFisheryGooseAmerican minkInvasive speciesGeographyMink
DOInot available

Abstract

fetched live from OpenAlex

The environmental impact of 25 invasive alien vertebrate species in Luxembourg has been assessed in accordance with the Belgian ISEIA Protocol. 3 species of high ecologi- cal impact have been assigned to a black list: the fish bighead goby ( Neogobius kessleri) and round goby (N. melanostomus), and the bird Canada Goose (Branta canadensis). 5 species of medium impact have been added to a watch list: the bird Egyptian Goose (Alopochen aegyptiacus), the mammals North American beaver (Castor canadensis), fallow deer (Dama dama) and muskrat (Ondatra zibethicus), and the fish Zander ( Sander lucioperca). 2 species not yet present in Luxembourg have been assigned to an alert list: the amphibian American bullfrog (Rana catesbeiana) and the mammal American mink (Mustela vison). The remain - ing 15 taxa of low ecological impact have not been included in any list.

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)0.005
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: none
Teacher disagreement score0.047
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0300.005

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 head0.010
GPT teacher head0.293
Teacher spread0.283 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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