Bibliographic record
Abstract
Atlantic halibut (Hippoglossus hippoglossus) is the largest species of flatfish in the northwest Atlantic Ocean. It is a long-lived, late-maturing species distributed from Labrador to southern New England (Bigelow and Schroeder 1953). Within the Gulf of Maine-Georges Bank region (NAFO Divisions 5Y and 5Z, Figure M1) halibut have been exploited since the early 1800s, with major abundance declines noted as early as the 1870s (Goode 1884, Grasso 2008). Atlantic halibut was assessed in 2002 and 2005 using index-based methods (Brodziak 2002, Brodziak and Col 2005). Northeast Fisheries Science Center (NEFSC) autumn weight per tow survey indices were expanded to swept-area biomass estimates (assuming a catchability coefficient of one), and the 5-year average biomass index was compared to BMSY proxy reference points for status determination (Col and Legault 2009). Based on the 2005 Groundfish Assessment Review Meeting (GARM) assessment of Gulf of Maine-Georges Bank Atlantic halibut, the stock was overfished (B2004 was 5 % of BMSY proxy) and it was unknown whether overfishing was occurring (Brodziak and Col 2005). During the 2008 GARM, halibut was assessed using a simple production model called Replacement Yield Model (Col and Legault 2009) enabling overfishing status to be determined for the first time. The fishing mortality
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.534 | 0.398 |
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".