Nonintrusive acoustic identification of hermit thrush (<i>Catharus</i> <i>guttatus</i>) individuals
Bibliographic record
Abstract
From mid-April well into the summer, the secretive hermit thrush (Catharus guttatus) can be heard singing throughout the woodlands of Nova Scotia. Its song is distinctive, beginning with a clear introductory note followed by a flurry of flutelike body notes, often cascading and reverberant in character. Despite this fine display of avian virtuosity, few studies have been reported that probe the differences between the calls, songs, and repertoires of individuals. From April 2003 to May 2006, over 3000 songs from several birds were recorded using digital video cameras at study sites in and around the city of Halifax, Nova Scotia. The only birds recorded were those in close proximity to roads and trails. None of the birds were marked, banded, or deliberately disturbed in any way. Although the study birds remained hidden from view most of the time, in the few instances where the birds perched in the open, their behaviors while singing were captured on videotape. All of the birds were readily distinguishable from each other as no two individuals had a single song in common. The most significant finding was that individuals could be reidentified acoustically after 1 week, 3 months, and 1 year had elapsed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".