Evaluation des stocks de pétoncle d’Islande Chlamys islandica, peigne du Canada Placopecten magellanicus et concombre de mer Cucumaria frondosa du gisement du banc de Saint-Pierre (subdivision 3Ps de l’OPANO). Résultats de la campagne de prospection SPM2017-Hal (14 au 24 août 2017).
Bibliographic record
Abstract
The CORE 3Ps scallop stocks (Icelandic scallop Chlamys islandica and Giant scallop Placopecten magellanicus) and Sea cucumber (Cucumaria frondosa) stock were assessed in August 2017 in French-Canadian waters southwest of the Saint-Pierre and Miquelon archipelago on the one hand, and in the southern part of the French EEZ known as “Corridor” on the other. For this purpose, a scientific survey, based on a stratified random sampling plan in the CORE area and systematic sampling plan in the French Corridor was conducted onboard S/V Antéa, research vessel of the French Oceanographic Fleet. Although difficult weather conditions affected the survey, 80 sampling points were completed. The analysis of these data shows a slight decrease in the exploitable biomass of Icelandic scallops compared to the last French assessment in 2011, particularly in the Canadian part. On the other hand, the Giant scallop stock shows a slight increase. The distribution of these two species is quite disparate: most of Icelandic scallop stock is located in Canadian area, while almost all of the Giant scallop stock is located in French waters. These two species of scallops are also sparsely present in the French Corridor, with the exception of a single point with high densities of Placopecten. An exploitable biomass of sea cucumber Cucumaria frondosa is confirmed, both in the CORE area, especially in the French part, and in the Corridor. The total lack of knowledge of the dynamics of this stock should however encourage to consider a moderate exploitation of this species.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".