Science response: 2021 index for winter flounder
Bibliographic record
Abstract
Fisheries and Oceans Canada (DFO) Fisheries Resource Management has instituted a multi year management approach for the Winter Flounder stock of the southern Gulf of St. Lawrence (sGSL; Northwest Atlantic Fisheries Organization (NAFO) Division 4T). The last full assessment of the Winter Flounder of the sGSL (Surette and Rolland 2019) was completed in March 2017 with advice for the May 2017 to May 2022 fisheries period. An interim update of stock status was also completed in 2019 (DFO 2020). This stock did not undergo a full stock assessment in 2021 as was planned in its 5 year assessment cycle (DFO 2016, 2017) since a recovery plan is currently under development and is expected to be published in 2022. Instead, an update of indicators of stock status is presented to inform decision making. This Science Response Report results from the Regional Science Response Process of March 1, 2022 on the update of indicators to 2021 of Winter Flounder (Pseudopleuronectes americanus) from NAFO Division 4T, southern Gulf of St. Lawrence.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.101 | 0.088 |
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".