Influence of Weather on Low Larkspur (Delphinium nuttallianum) Density
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Delphinium nuttallianum (low larkspur) causes serious cattle losses on mountain rangelands in western NorthAmerica. Risk of cattle deaths is related to density of low larkspurs. Our hypothesis was that warmer winter/springconditions, coupled with below average precipitation, would result in reduced low larkspur density (plants/m2).We measured larkspur density using 4 transects at 4 sites: Collbran and Yampa, Colorado; Huntington, Utah; andCalf Creek (Teton Mountains), Wyoming over a 7-9 year period. Weather data was collected at nearby weatherstations. Larkspur density was often related to previous winter and spring precipitation, with increasedprecipitation resulting in higher plant densities. Higher ambient temperatures during winter and spring wererelated to lower plant densities. Further, there was a relationship between weather during the previous growingseason (May to July) and larkspur density the next year, with warmer temperatures and/or low precipitation relatedto reduce densities at 3 of 4 sites.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it