Summary The Northeast Regional Stock Assessment Review Committee Meeting (SARC) took
Bibliographic record
Abstract
The SARC meeting was adeptly chaired by the SARC chair Michael Murphy and, in combination with the well organized facilities, resources and background support provided by NOAA staff, the meeting ran to schedule in a relaxed format, allowing sufficient time for clarification of questions on presentations, further analysis if required and detailed discussion on each TOR. The assessment team was well prepared for the meeting and the presentations on data collection, raising, analysis and model outputs were well structured and consistent. The ability, attitude, and collaborative team-work demonstrated by the assessment team participants was of a comparable, high standard to those attending assessment meetings that I have participated in within the International Commission for the Exploration of the Sea (ICES), Canada, and the North Atlantic Fisheries Organization (NAFO). The assessment team addressed and met all of its terms of reference and their conclusion that the stock is currently not over-fished and over-fishing is not occurring is appropriate. Based on the results of the catch at age analysis the bass spawning stock biomass is well above the biomass reference threshold and fishing mortality is currently at the target level
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 | 0.026 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.021 |
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".