Scallop Production Areas 1 to 6 in the Bay of Fundy
Bibliographic record
Abstract
Harvesting of Sea Scallop (Placopecten magellanicus) in the Bay of Fundy (BoF) and Approaches includes commercial, communal commercial, and communal Food, Social, and Ceremonial (FSC) harvesting. Advice on the status of Scallop in Scallop Production Areas (SPAs) 1 to 6 in the BoF is requested annually by Resource Management Branch, Fisheries and Oceans Canada (DFO), Maritimes Region, to help determine a Total Allowable Catch (TAC, meat weight) in support of the commercial component of the fishery. The purpose of this report is to update the stock status of Scallop in SPAs 1 to 6 with data from the 2024 Scallop survey and fishery (October 1, 2023 to September 30, 2024). The last Regional Advisory Process of the BoF Scallop stocks occurred in 2015 (DFO 2016, Nasmith et al. 2016); updates have been conducted since. The last update was in November 2023 (DFO 2024). This Science Response Report results from the regional peer review of November 22, 2024, on the Stock Status Update of Bay of Fundy Scallop in Scallop Production Areas (SPAs) 1A, 1B, and 3-6.
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 | 0.001 |
| 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) | 0.008 | 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".