REAL-TIME MOOSE TRACKING: AN INTERNET BASED MAPPING APPLICATION USING GPS/GSM-COLLARS IN SWEDEN
Why this work is in the frame
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Bibliographic record
Abstract
To date, moose (Alces alces) tracking has relied on techniques either based on 'Very High Frequency' (VHF) / 'Ultra High Frequency' (UHF) radio collars, or Global Positioning System (GPS) collars, often requiring significant effort in the field to collect data. Here we present a technique that automatically tracks and reports moose in almost real time, and presents moose positions and movement paths with an interactive web-based map service. We equipped 25 female moose with GPS/GSM collars in Vasterbotten county, northern Sweden. The GPS receivers acquired a position every 30 minutes and transmitted them after 3.5 hours as a standard Short Messaging Service (SMS) message using the Global System for Mobile communications (GSM) cell phone network. The positions were automatically extracted from the receiving local GSM-modem and stored in a database. During 18 days in March 2003, 18,638 GPS positions were transmitted by 2,719 SMS messages. Of all positioning attempts 98.1% resulted in a valid position, whereof 99.7% were 3-dimensional positions. The real-time approach allows for many new research studies; e.g., small- scale migrational studies with adapted GPS schedules for different phases of migration. Further, public access to the moose data by a web-based map can be of fundamental importance for public acceptance when dealing with local concerns. ALCES VOL. 40: 13-21 (2004)
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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