Analysis of Atlantic salmon habitat distribution and sensitivity to forest extraction in the Cascapédia River drainage basin using a GIS
Bibliographic record
Abstract
The relationships between local and catchment-wide land use patterns and the spatial distribution of stream habitat variables within the Grande Cascapedia drainage basin were investigated using a geographic information system (GIS). Stream habitat variables including substrate composition and channel morphology were sampled at 48 study sites, ranging from highly disturbed to relatively pristine forest conditions in 2nd to 5th order tributaries. Land use and geology-structure variables were extracted for each catchment at four spatial scales using a GIS. The transition between pool-riffle and boulder-rapid morphologies occurred between channel gradients of 1.5% and 1.7%. The surface grainsize distribution is affected by the hydraulic power of the reach, while the subsurface grainsize distribution is associated with the degree of valley incision. The amount of logging within a 1 km radius of a sample site increases the occurrence of fine sediment within the substrate. There was, however, a surprising lack of relationship between the majority of road density metrics and the level of fines within the substrate.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".