Influence of Particulate Organic Carbon Sedimentation within the Seasonal Sea-ice Regime on the Catch Distribution of Northern Shrimp (<i>Pandalus borealis</i>)
Bibliographic record
Abstract
A sedimentation model was used to map the distribution of particulate organic carbon (POC) in the Labrador Sea in relation to shrimp (Pandalus borealis) distribution. The model was based on information from sediment traps and ice regimes defined by: ice concentration, duration of ice cover and distance from an ice edge. Initial results from a subset of POC-binned commercial shrimp fishing data resulted in linear regression coefficients between catch per hour and POC of r 2 = 0.926 for 1989 and 0.964 for 1996. Binning the data according to depth resulted in r 2 = 0.995 and 0.948, respectively. Shrimp catch data from research surveys binned by (1) POC, (2) depth and (3) temperature resulted in corresponding r 2 of (1) 0.304, (2) 0.763, (3) 0.745 and (1) 0.535, (2) 0.897 (3) 0.954 for 1996 and 1997, respectively. The results validate the sedimentation model and confirm the importance of POC as food for shrimp. Information on POC distribution determined by sedimentation models has potential applications in shrimp fisheries and research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".