L. Georges Bank/Gulf of Maine White Hake by K.A. Sosebee 1.0 Background
Bibliographic record
Abstract
This stock was last assessed and reviewed at the Groundfish Assessment Review Committee meeting in 2002 (NEFSC 2002a). The AIM method was used to develop reference points and to assess the status of the stock relative to these reference points (NEFSC 2002b). Landings and discards of fish greater than 60 cm, were used in the model as well as autumn survey indices of biomass. Relative fishing mortality in 2001 was estimated to be more than twice the value for Fref. Biomass estimates were less than 1/2 Bmsy. NEFSC spring and autumn research vessel bottom trawl survey indices had declined to near record low levels in 1999 but increased through 2002 due to a moderate 1998 year class. 2.0 The Fishery United States commercial landings of white hake increased from a low of 2,225 mt in 1997 to 4,435 mt in 2003 (Table L1; Figure L1). Landings subsequently declined to 3,505 mt (-21%). Canadian landings declined to a time-series low of 90 mt. Discard estimates were derived for 2002-2004 using the same method as in the previous assessment (Table L2; Figure L1). Discards decreased to 176 mt overall. Only otter trawl discards are used in the assessment and they decreased to 83 mt (Table L2).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.407 | 0.221 |
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".