Sources of behavioral variability in C. elegans: Sex differences, individuality, and internal states
Bibliographic record
Abstract
Animal behavior varies across different timescales. This includes rapid shifts in behavior as animals transition between states and long-term changes that develop throughout an organism’s life. This review presents the contributions of sex differences, individuality, and internal states to behavioral variability in the roundworm Caenorhabditis elegans . Sex is determined by chromosome composition, which directs neuronal development through gene regulation and experience to shape dimorphic behaviors. Genetically identical individuals within the same sex and reared in the same conditions still display distinctive, long-lasting behavioral traits that are controlled by neuromodulatory systems. At all life stages, internal states within the individual, shaped by external factors like food and stress, modulate behavior over minutes to hours. The interplay between these factors gives rise to rich behavioral diversity in C. elegans . These factors impact behavior in a sequential manner, as genetic sex, individuality, and internal states influence behavior over progressively finer timescales. • Caenorhabditis elegans exhibits behavioral variability based on sequentially organized features. • Genetic sex is specified early and constrains behavioral outputs throughout life. • Over development, individuality arises and impacts behavioral variability. • Over minutes to hours, animals switch internal states, influenced by sex and individuality.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".