Benthos from Baffin Bay Area: a photo catalogue
Bibliographic record
Abstract
Many teams studying benthic biodiversity have faced the challenge of identifying collected specimens while they are at sea. The use of pictures is an efficient way to increase samples processing, while limiting wrong or incorrect identifications that can be done when many people are working on the same project at different times. This catalogue presents a non-exhaustive inventory of more than 750 taxa, most of them named to the species level, of benthic invertebrates recorded in Baffin Bay (Arctic) with a special attention paid to species recorded along the Southwest Greenland coast. It is designed to be an accurate tool for biologists to identify benthic invertebrates occurring in trawl/dredge samples, with the objective to decrease number of preserved samples and time spent on post-survey sample processing. It has proven particularly useful during the implementation of benthos monitoring on national fisheries assessment surveys as recently recommended by CAFF-CBMP (CAFF 2017) as a way to increase our knowledge of long-term and large-scale trends in Arctic benthos communities. The catalogue proposes original photos and drawings. A must for biologist studying benthos from Arctic waters!
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.010 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.036 |
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".