Science response: 2022 stock status update for capelin in NAFO divisions 2J3KL
Bibliographic record
Abstract
This Science Response Report results from the March 14–15, 2022 Regional Peer Review on the Stock Status Update of Divisions 2J+3KL Capelin (Mallotus villosus) as requested by Fisheries and Oceans Canada (DFO) Resource Management. A full Regional Peer Review meeting scheduled for March 8–11, 2022 was cancelled due to reduced spatial coverage in both the Capelin spring acoustic and fall multi-species bottom-trawl surveys in 2021. The resulting data limitations prevented DFO Science from conducting a full assessment of the stock. It was decided that the Centre for Science Advice (CSA), Newfoundland and Labrador (NL) Region would instead hold an internal DFO Stock Update. This stock was last fully assessed in 2021 and included fishery-independent and commercial fishery data up to 2020, and a Capelin biomass forecast for the 2021 spring (May) acoustic survey. The basis of this update is new fishery-independent data and catch data from 2021.
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.035 |
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".