Review Of The Current Status Of The Snow Crab Chionoecetes Opilio (O. Fabricius, 1788) Fisheries And Biological Knowledge In Eastern Canada
Bibliographic record
Abstract
Tanner crab are harvested from the eastern Bering Sea (EBS) to Southeast Alaska, snow crab from the EBS, and grooved and triangle Tanner crab from the EBS and Aleutian Islands to Southeast Alaska. This chapter reviews the stock assessment, harvest strategies, and harvest and population trends for Chionoecetes fisheries in Alaskan waters. Stock assessment data for eastern Bering Sea Tanner and snow crabs come from the summer trawl survey, commercial harvest reports, and by catch observations. Tanner crab in Kodiak, Chignik, South Peninsula, and Eastern Aleutian Districts are assessed annually through trawl surveys. Pot surveys indexed Tanner crab abundance in Cook Inlet and Prince William Sound from 1975-1991, but were replaced by trawl surveys in 1991. Tanner crab stocks in Southeast Alaska are assessed during two annual surveys in which approximately 860 pots are set. Keywords:Alaskan waters; Chionoecetes fisheries; eastern Bering Sea (EBS); harvest strategies; snow crab; stock assessment; Tanner crab
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".