Chironomidae larvae from the lower Athabasca River, AB, Canada and its tributaries including macroscopic subfamily and tribe keys, indices for environmental tolerance and trait-based information for biomonitoring
Bibliographic record
Abstract
Since 2011 the Joint Oil Sands Monitoring (JOSM) program has been conducted in the lower Athabasca River by the Governments of Canada and Alberta to assess the freshwater health in areas associated with oil sands development. The majority of the benthic invertebrate assemblage of the Athabasca River and its tributaries are Chironomidae larvae. Assessments of such benthic assemblages are made difficult because the identification of Chironomidae larvae is costly and time consuming. To facilitate this identification process, we aimed to develop a simple taxonomic key for Chironomidae larvae of this region. This taxonomic reference and identification key makes use of the known taxonomic details on these Chironomidae species. Moreover, we provide details on their geographical distribution, ecology, habitats, environmental tolerance values for species, and traitbased morphological characters. Our main goal was to make this information readily available to both non-specialists and specialists so that biomonitoring programs can more readily utilize these organisms in biomonitoring.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".