Identification of potential organisms of relevance to Canadian boreal forest and northern lands for testing of contaminated soils
Bibliographic record
Abstract
A literature review has been performed with the aim of identifying potential soil invertebrate species, culturing techniques, and testing methodologies of relevance to Canadian boreal forest, taiga, and tundra ecozones. This was achieved through a review of European and Canadian ecological and ecotoxicological literature. The criteria for candidate species selection included habitat, frequency and abundance, origin, taxonomy, practicability, and stress tolerance. Nineteen species or genera common to both Northern Europe and Canada were identified as proposed test organisms in ecotoxicological test methodologies. Some of these species are currently in culture at various European or Canadian laboratories. Three earthworm and one collembolan species were recommended for further method development, while two more collembolan species as well as a yet to be identified Canadian species of four genera of enchytraeids, nematods, predatory mites, and carabid beetles were recommended but need further research. A number of issues with the recommended species were identified that would need resolution through focused research. Also, additional potential test species were identified based on their frequency of occurrence in boreal forests and northern lands for possible further method development consideration. Available information and current research activities on Canadian soil invertebrates relevant to the boreal forest, taiga, and tundra ecozones should be compiled using a similar classification and short-list selection process as used for this contribution to help identify additional candidate test species. The recommended species could be used as part of a test battery covering litter layer and mineral soils of Canadian boreal forests and northern lands.Key words: Carabidae, Collembola, Enchytraeidae, Gamasida, Lumbricidae, Nematoda.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".