FIRST NEST OF THE YELLOW-BELLIED FLYCATCHER FOR ALASKA, WITH NOTES ON BREEDING BIOLOGY
Bibliographic record
Abstract
We discovered a breeding population of Yellow-bellied Flycatchers (Empidonax flaviventris) during the summer of 2004 in a mountainous area northwest of Fairbanks, Alaska. A minimum of 13 males, all apparently paired, were defending territories in open montane forest with patches of thick alder, birch, and willow. Expanses of similar unsurveyed habitat suggested the possibility of a much larger population. A nest with four eggs provided the first evidence of this species’ breeding in Alaska. We recorded behavior at this nest by 24-hour videotaping during incubation and when nestlings were 1 and 8 days old. The nestlings fledged after 15 days. This information extends the known breeding range of the Yellow-bellied Flycatcher west of Canada for the first time and, with other sites of suspected breeding, suggests the species may have a broader breeding distribution in Alaska, particularly in remote stretches of the Yukon River drainage.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.004 | 0.001 |
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".