Indicators for monitoring fish and invertebrate communities sampled in the annual ecosystem survey in the northern Gulf of St. Lawrence
Bibliographic record
Abstract
The northern Gulf of St. Lawrence (nGSL) has undergone significant ecological and environmental changes over the past decades. To date, the impact of these changes on offshore fish and invertebrate communities, as well as on the ecosystem functions they support, remains poorly documented. This report presents a first suite of ecological indicators that will aid in understanding, monitoring, and better anticipating changes in the structure and functioning of offshore communities in the nGSL. These indicators reveal unstable communities undergoing restructuring following the considerable increase in redfish biomass and the persistent rise in water temperatures. These ecological and environmental changes have also contributed to shifting habitat use patterns since 2017 and pose a risk to the persistence of mixed communities composed of both boreal and temperate species in the nGSL. The substantial reduction of energy fluxes associated with micronekton, the low productivity of invertebrate species, the recent decrease in the biomass of fish and in the species richness of small to medium-sized organisms, as well as the poor condition of several fish species, all confirm that offshore communities are currently vulnerable to disturbances.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".