The Status of Iceland Scallop (Chlamys islandica) in the Strait of Belle Isle (SFA 14A, Div. 4R) in 2018
Bibliographic record
Abstract
The directed fishery for Iceland scallop (Chlamys islandica) in the Strait of Belle Isle (Northwest Atlantic Fisheries Organization [NAFO] Div. 4R) has been prosecuted annually since 1969 with the exception of four years (1975–79). Populations in the Strait of Belle Isle are found on three beds at depths from 30–120 m. They are usually on hard bottom with variable substrate composition consisting largely of sand, gravel, shell fragments, and stones. Landings have averaged approximately 250 t since 2009, with lower than average landings of 115 t and 127 t in 2017 and 2018 respectively. The total allowable catch of 1000 t has not been taken since 2000. Catch per unit effort over the last decade has remained stable. The number of active licenses has declined in recent years to its lowest level. Since 2006 more than 90% of the landings has been taken from Bed 3 (southern bed). Fisheries and Oceans Canada (DFO) resource assessment surveys in September 2011 and 2018 resulted in minimum dredgeable biomass (MDB) estimates of 4,123 (t, round) and 3,432 (t, round) respectively. For the duration of the survey time series (since 1995) the MDB estimates have varied without trend. The natural mortality estimate was 0.26 in 2018 which was the highest in the survey time series.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".