Using cover type composition of home ranges and VHF telemetry locations of moose to interpret aerial survey results in Minnesota.
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
Although home ranges of radio-collared moose are typically used to establish habitat requirements and range size of moose, they can be useful in the implementation of aerial surveys. A survey area is usually stratified into low, medium, and high moose density blocks, and radio-collared moose can provide data to improve the stratification procedure because cover type composition in home ranges could help stratify survey blocks. VHF telemetry locations and home range data can also be used to evaluate survey results. In Minnesota high moose density survey blocks contained more of the Conifer Forest cover type and less of the Wet Bog cover type than was present in moose home ranges or VHF telemetry locations. Proportionately more moose were observed in the Mixed Forest and Regenerat- ing Forest cover types during the aerial survey, even though VHF telemetry locations indicated moose were using the Wet Bog cover type. The survey will be biased and underestimate the moose population if undetected moose are not corrected for by a Sightability Correction Factor. Further evaluation of survey data and increased resolution of moose locations is required to resolve this issue. ALCES VOL. 47: 101-112 (2011)
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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