Hydroperiod and functional dispersion (birds, plants and aquatic macroinvertebrates) in the Prairie Pothole Region of Alberta
Bibliographic record
Abstract
We provide both data and R Code. The data provide the functional dispersion for birds(y2), plants (y1) and aquatic macroinvertebrates (y2) and pond permanence in wetlands surveyed between 2013-2014 in the Prairie Pothole Region of southern Alberta. To measure the functional dispersion of each taxon, we used Rao’s quadratic entropy, which does use the weighted mean distance of each species to the group centroid, where weights are based on species relative abundances. We used four proxies for wetland pond permanence, and these include approximate number of days a wetland contained water(x1), maximum water depth observed during the survey period(x2), ratio of water amplitude (i.e., maximum – minimum observed water depths) to maximum depth (x3), and an index of evaporative losses to the atmosphere relative to water inputs based on stable isotopes analysis (x4). We relativized both the biological and ponded permanence variables by dividing each cell by the column maximum. The provided code details how we constructed structural equation models using these data.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| 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) | 0.022 | 0.006 |
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".