MétaCan
Menu
Back to cohort
Record W4318826621 · doi:10.5376/ija.2022.12.0002

The Invasion of the Alien Species Alligator Gar

2022· article· en· W4318826621 on OpenAlexvenueno aff
Yeping Han

Bibliographic record

VenueInternational Journal of Aquaculture · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlligatorAlienBiologyFisheryEcologyGeographyZoologyPopulationDemography

Abstract

fetched live from OpenAlex

This study elucidated the origin of the alligator gar ( Atractosteus spatula ) by investigating the traces of the alligator gars in various waters in different provinces and cities of China. Alligator gars originally entered China through ornamental fish trade (illegal smuggling). They are abandoned by people probably because it is difficult to raise them, or released by people out of “goodwill”. Therefore, the invasion sites of alligator gars are mainly concentrated in the waters of the residential districts and the lakes of the parks. The invasion of alligator gars has brought potential threats to the aquatic ecosystem in China. Through reading the literature and regulations, this study found that alligator gars are not included in the list of alien invasive species at present. However, according to the overwintering ability and damage degree of alligator gars, some experts have suggested that it should be included in the list of alien invasive species. This study also put forward its own views on the proper treatment of the alien species alligator gars.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.209
Teacher spread0.195 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of AquacultureSame topicFish Biology and Ecology StudiesFrench-language works237,207