Black-capped (<i>Poecile atricapillus</i>) and mountain chickadee (<i>Poecile gambeli</i>) contact call contains species, sex, and individual identity features
Bibliographic record
Abstract
The tseet contact call, common to both black-capped and mountain chickadees, is among the most frequently produced call of each species, but has remained little studied until now. In the current study, the authors characterized the tseet call of adult allopatric and sympatric black-capped and mountain chickadees in terms of nine acoustic features in a fashion similar to descriptive accounts of both species' chick-a-dee calls. Summary statistics, the potential for individual coding, and classification by linear discriminant analysis were used to describe the tseet call. The authors were able to correctly classify tseet calls in terms of which group or individual produced it with high accuracy. Furthermore, several acoustic features are highly individualized, indicating that the chickadees may use these features to identify signalers as individuals or members of a particular group.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".