Science Response : Browns Bank North Scallop
Bibliographic record
Abstract
Advice on the status of the Browns Bank North Scallop stock is requested annually by Fisheries and Oceans Canada (DFO) Resource Management to help determine an annual Total Allowable Catch (TAC, meat weight) in support of the fishery. The purpose of this report is to update the status of Browns Bank North Scallop with data from the 2021 Scallop survey and fishery (January 1 to December 31) to provide science advice for the management of the 2022 fishery. This Stock Status Update uses the assessment framework accepted during the peer-reviewed Regional Advisory Process of 2011 (Hubley et al. 2011) for Browns Bank North. Updates were conducted using this framework from 2014–2020 (DFO 2020 and references therein). In 2020, the DFO Science Offshore Scallop Survey was cancelled due to challenges associated with the COVID-19 pandemic. This update for the Scallop fishery on Browns Bank pertains to the northern part of the bank. Browns Bank South has separate management measures. This Science Response reports results from the Regional Science Response Process of April 19, 2022, on the Stock Status Update of Offshore Scallop: Browns Bank North and Georges Bank ‘a’.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.105 | 0.045 |
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".