Acoustic analyses of two undocumented sound patterns in the <i>Drosophila suzukii</i> and <i>D. takahashii</i> species subgroups.
Bibliographic record
Abstract
Acoustic analyses of the courtship songs of the suzukii and takahashii subgroups in the Drosophila melanogaster species group were conducted. The primary and secondary pulse phases that are common in the melanogaster subgroup were not observed in these two subgroups. However, two undocumented sound patterns were discovered. D. biarmipes and D. pulchrella (suzukii subgroup) produce high amplitude, nonrhythmic “toot” sounds, which range from 82–158 ms in duration. The toot sound in D. biarmipes has a consistent dynamic frequency profile. It starts with an onset of 479 Hz and gradually falls to 422 Hz and then rises to 477 Hz. The toot sound in D. pulchrella has a significantly lower frequency when compared to D. biarmipes. Its frequency profile falls gradually from 352–259 Hz. In addition, a “turbo” sound was recorded in D. prostipennis (takahashii subgroup). It is composed of short, high frequency pulses (520 Hz) with 4 ms interpulse intervals. In the melanogaster subgroup, the parameters of pulses have been proposed to play an important role in female preference. The results of the present study suggest that there might be other parameters at play in the species investigated in the current study.
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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) | 0.000 | 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 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".