Recent Range Records of Crayfish (Faxonius) From Far North Ontario, Canada
Bibliographic record
Abstract
Abstract The Far North region of Ontario, Canada, is a wilderness area comprising 451,808 square kilometers of intact boreal forest and wetlands. Until the work presented here the most recent extensive survey for crayfish in the Far North region of Ontario was conducted in 1963. We sampled 81 locations across the Far North region of northern Ontario and the Hudson Bay Lowlands, Canada from 2009 to 2014 catching 96 specimens from 2 species: Faxonius virilis (Hagen) (92) and Faxonius propinquus (Girard) (4) These records define the northern boundary of freshwater crayfish. Unlike much of North America, species records were consistent with surveys conducted over 55 years ago. The Far North region of Ontario is facing proposed development at a scale not seen before, and our records provide necessary baseline data for ecosystem and wildlife monitoring, understanding potential future impacts, and to support sustainable resource management.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".