Additional details and supporting information can be found in the Appendix of the GARM-III
Bibliographic record
Abstract
American plaice is distributed along the Northwest Atlantic continental shelf from southern Labrador to Rhode Island in relatively deep waters (Collette and Klein-MacPhee 2002). Off the U.S. coast, American plaice are managed as a single stock in the Gulf of Maine-Georges Bank region (Figure H1) where the greatest commercial concentrations exist between 90 and 182 m (50 and 100 fathoms). This stock was last assessed and peer reviewed in August 2005 at the GARM-II meeting (O’Brien et al. 2005). The assessment was conducted using VPA with total catch including commercial landings, large mesh discards, and shrimp trawl discards for ages 1-9+. For terminal year 2004, total commercial landings were 1,711 mt and fully recruited F (ages 5-8, unweighted average) was estimated to be 0.15, the lowest F in the time series (1980-2004). Spawning stock biomass was 14,149 mt in 2004, a 10 % decrease from 2003. The 2003 (54.8 million age 1 fish) and 2004 (66.7 million age 1 fish) year classes were well above the long term average (33.1 million age 1 fish). The spring and autumn research survey indices of abundance indicated a decreasing trend during 2000-2005. Recruitment indices of age 1 fish from NEFSC autumn
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.785 | 0.493 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".