Suivi des espèces envahissantes marines à Saint Pierre et Miquelon. Année 2014
Bibliographic record
Abstract
This work, conducted in 2013 , is a first monitoring of marine invasive species in Saint-Pierre and Miquelon archipelago. In global changing context on coastal ecosystems , accentuated by direct or indirect effects of human activities, it became essential to implement a survey on marine invasive species on Saint-Pierre and Miquelon shoreline. Fukui traps and tunicates collectors implemented on different stations as well as the timely completion of observational dives , have established the following conclusions : several non native species were detected within the local marine ecosystem. This species , such as Carcinus maenas , Ciona intestinalis , Botryllus schlosseri , Caprella mutica , etc. ... threaten some local marine ecosystems and some local aquaculture activities. It seems to be essential to continue this type of annual monitoring to determine trends of marine invasive populations on the archipelago. Further works in collaboration with Canadian services should also allow the identification of human activities impacts on these populations movements. These reports will finally support a management plan for these introduced impacting organisms to limit and control biopollution impacts on marine environment and economy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".