Bibliographic record
Abstract
(O’Brien et al. 2008). The assessment was conducted using virtual population analysis (VPA) where the catch at age included USA and Canadian commercial landings and discards, and USA recreational landings. Swept area estimates, derived from indices of abundance from three research groundfish trawl surveys (NEFSC spring and autumn, and Department of Fisheries and Oceans (DFO) February) were used to calibrate the VPA, and each of the surveys was split into two time series, between 1994 and 1995. In the 2008 assessment, total commercial landings were 5,957 mt in 2007 and fully recruited F (ages 5-8, unweighted average) was estimated to be 0.30, the lowest F in the time series (1978-2007). Spawning stock biomass (SSB) was 17,672 mt in 2007. Since 1992, recruiting year classes had all been below the long term average (13.8 million age 1 fish) with the 2000 and 2002 year classes being the lowest in the time series. The 2003 year class, however, was estimated to be near average (11 million age 1 fish) and near the size of the 1998 year class (12 million age 1 fish). The NEFSC spring and autumn bottom trawl survey indices continued to remain near record low values. The last above average autumn recruitment index of survey age 1 fish occurred in 1988, 20 years prior to the terminal year 2007. In 2008 biological reference points (BRPs) for GB cod were developed by the GARM III BRP Review Panel (O’Boyle 2008) using a non-parametric yield per recruit analysis (YPR) , to determine Fmsy = F40 % maximum spawning potential. Stochastic projections, using a 2-stage cumulative distribution function (cdf), with a SSB cut-point for low or high recruitment at 50,000 mt, provided the following BRPs: FMSY = 0.25, MSY = 31,159 mt and
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.178 | 0.084 |
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".