The Distribution and Abundance of Northern Shrimp (Pandalus borealis) in Relation to Bottom Temperatures in NAFO Divisions 3LNO Based on Multi-Species Surveys from 1995-2002.
Bibliographic record
Abstract
The spatial distributions and abundance of northern shrimp are presented in relation to their thermal habitat for NAFO Divisions 3LNO during spring surveys from 1998-2002 and for fall surveys from 1995-2001. The highest numbers of shrimp were caught in the 2 o -4 o C-temperature range during the spring surveys with lower numbers in the 1 o -2 o C and 4 o -5 o C temperature ranges. During the fall surveys most shrimp were caught in the 1 o 3 o C temperature range. Cumulative frequency distribution of the number of shr imp caught and temperature indicates that only about 5% of the catches are associated with temperatures 4 o C during both spring and fall. Shrimp catches were mostly zero in all surveys in the swallow waters (<100 m) of the southeast Grand Bank, where temperatures generally range from 2 o -7 o C. In general, during the spring most of the large catches were found in the warmer water along the slopes of Div. 3LN, while in the fall, larger catches were found in most areas of Div. 3L including the inshore areas of the bays along the east coast of Newfoundland.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".