Data from: Differential impacts of human land use on native and non-native fish in mountain watersheds
Bibliographic record
Abstract
Human activities increasingly affect cold-water specialists in mountain ecosystems, both through direct alteration of freshwater habitat and through indirect effects mediated by terrestrial ecosystem change. Using presence/absence data for three native and three non-native trout species in the Alberta Rocky Mountains, Canada, we model the change in occupancy probability across 20 years (2001 to 2020) in 74 watersheds and relate occupancy with habitat variables (i.e., elevation, tree coverage, and density of linear features). Native bull trout showed significant declines in HUC10 occupancy (-0.16 % year-1) while non-native trout showed stability. Native trout favoured areas of higher elevation and greater tree coverage in direct contrast to non-native trout. Bull trout were significantly negatively impacted by the density of linear features. Our analysis suggests that regulation of anthropogenic activities and restoration of the terrestrial environment are required to conserve native trout in sensitive mountain environments.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.011 |
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".