Conceptual Life History and Habitat Suitability Models for the Greater Sage-Grouse (Centrocercus urophasianus)
Bibliographic record
Abstract
The greater sage-grouse (Centrocercus urophasianus) have experienced extensive population decline across their range in the western United States and Canada due to habitat degradation and loss largely associated with land use change, including the development of clean-energy projects. Modeling the life history and habitat suitability of the species is a key tool in understanding how landscape changes could affect sage-grouse populations. A group of scientists at Argonne National Laboratory developed such models in 2012; however, those models have not been updated since then. We updated the models conceptualizing greater sage-grouse life-history and habitat suitability. The life history model separates sage-grouse by age (chick, juvenile, yearling, and adult) and sex (male, female), tracking major life events such as lekking, mating, brooding, and migration throughout the seasons. The habitat suitability models show requirements/preferences for individual sage-grouse survival and reproduction across various environmental factors. These updates in the models could inform policy decisions and development plans with sage-grouse conservation in mind.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".