Multifaceted and extensive behavioral trajectories of genomically diverse Drosophila lines
Bibliographic record
Abstract
Detailed tracking data is essential to understanding the intricate mechanisms behind animal behavior. Here, we present a comprehensive dataset containing behavioral movies and trajectories from over 30,000 Drosophila melanogaster individuals across 105 genetically distinct strains, including 104 wild-type strains from the Drosophila Genetic Reference Panel, along with one visually impaired mutant. These data, categorized by genetic background, sex, and social context (isolated or in groups), were collected during 15-minute sessions that included five minutes of repeated looming stimuli to elicit fear responses. Additionally, our experimental design incorporated group experiments with randomly combined pairs of strains to investigate synergistic effects of group members on behavioral dynamics. Beyond enabling detailed analyses of genetic factors underlying locomotion, fear responses, and social interactions, this dataset provides a unique opportunity to examine individual behavioral variability within genetically identical flies. By capturing a broad spectrum of behaviors across different genetic and environmental contexts, these data serve as a valuable resource for advancing our understanding of how genetics, individuality, and group interactions shape animal behavior.
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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 | 0.000 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".