Iceland Scallop in the Canada-France Transboundary Zone of St. Pierre Bank
Bibliographic record
Abstract
Marine ecosystem conditions indicated overall limited productivity of the fish and shellfish community in Northwest Atlantic Fisheries Organization (NAFO) Subdivision 3Ps. The ecosystem has undergone structural changes, with increased dominance of warm water species starting in 2010. In recent years (2019–22), ecosystem indicators have suggested that conditions could be improving. Sea surface temperature in 2023 in NAFO Subdivision 3Ps was at the second warmest level on record (2022 being the record). Bottom temperatures were back to normal after being at record-warm levels in 2021 and 2022. This warmer climate corresponded with improved conditions observed at the lower trophic levels, including increased concentrations of chlorophyll-a, earlier spring blooms, and increased zooplankton abundance and biomass. Directed fishing started in 1989 and peaked at 6,000 t in 1992. There was no directed fishing activity between 1997 to 2016, and there has been minimal fishing activity since 2017. Since 2018, the total allowable catch (TAC) has been 990 t (for the CORE area). In 2023, the minimum dredgeable biomass index was among the lowest in the survey time series, a 45% decrease since the last survey in 2017 and is 8% of the average in the early-1990s. The number of scallop meats per 500 g (i.e., average meat count) remains near the survey timeseries high, which indicates smaller-sized scallop meats. Natural mortality has sharply increased since the last survey in 2017, but remains far below the survey timeseries high. Biomass of predatory sea stars generally corresponds with natural mortality levels.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".