Iowa's Motus Wildlife Tracking Network, 2023 Annual Report, 2023
Bibliographic record
Abstract
The Motus Wildlife Tracking System is a collaborative global network of automated radio telemetry receivers and \ntagging projects. Motus was initiated in Ontario by Birds Canada in 2012 and has expanded globally since (Figure 1). \nMotus uses radio telemetry, which has three main components; transmitters, antennas, and receivers. The transmitters \nsend out radio signals every few seconds and are placed on wildlife. Antennas are used to listen for the radio signals of nearby wildlife tagged with transmitters. Receivers interpret the radio signals heard by the antennas. Traditional wildlife telemetry requires every tagged individual to transmit a unique radio frequency, and for the receiver to be re-tuned to the frequency of each tagged individual a researcher is trying to find. The Motus system uses the same general components of radio telemetry, but the transmitters are digitally coded tags that allow for unique identification of thousands of individuals on a single radio frequency and the receivers are automated and set to listen only for Motus radio frequencies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.007 |
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; both teacher heads agree on what is shown here.
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".