Overlapping size ranges of Calanus spp. off the Canadian Arctic and Atlantic Coasts: impact on species' abundances
Bibliographic record
Abstract
In the North Atlantic, Calanus finmarchicus, C. glacialis and C. hyperboreus are identified based on subtle morphological traits, which is fastidious, or based on their allegedly non-overlapping prosome length ranges. We reappraised the prosome length-based diagnosis for the copepodite stage V stage by coupling prosome length and molecular identifications (mtDNA, 16S gene) for 1159 individuals collected over 2 years from 15 stations off the Canadian coast from the Arctic to the Atlantic. We observed spatial but no intra-annual variation in species' average prosome length. At sympatric coastal sites, prosome length overlap was frequent between C. finmarchicus and C. glacialis and restricted to the Estuary/Gulf of St. Lawrence between C. glacialis and C. hyperboreus. We used discriminant analyses to redefine prosome length criteria to minimize errors in species identification. Species abundances were corrected and this affected mostly C. glacialis. In the St. Lawrence Estuary and on the Labrador shelf, abundance of C. glacialiswas underestimated by 19 and 35%, respectively, with important interannual variations since 2000. This increase in abundance could enhance estimation of the role of C. glacialis in the food web and potentially alter our view of the long-term changes along the eastern Canadian coast.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".