Further results of comparative fishing between the Canadian Coast Guard Ship (CGSS) Teleost and CCGS Capt Jacques Cartier/John Cabot in the Newfoundland and Labrador Region in Fall, with a focus on deep water species
Bibliographic record
Abstract
Comparative fishing has been ongoing since 2021 in the Newfoundland and Labrador Region as the multispecies survey transitions to new vessels, the Canadian Coast Guard Ship (CCGS) Capt Jacques Cartier and CCGS John Cabot. Analysis of this program was considered across two CSAS peer review meetings. Here we present results from Part II as they relate to the fall survey. Data collected in 2023, when added to previously collected data from 2021–22, were sufficient to estimate an additional seven deep water taxa conversions for the CCGS Teleost fall time series. Sixteen deep water taxa were determined to require no conversion. Additionally, following the recommendations from Part I, several taxa groupings were modified and reassessed for both the CCGS Teleost and CCGS Alfred Needler. Based on these regroupings, an additional eight conversion factors were determined for the CCGS Teleost and nine for the CCGS Alfred Needler.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".