Bibliographic record
Abstract
Drosophila melanogaster is a key model organism for biological research due to its genetic manipulability and high degree of evolutionary conservation with humans. Phagocytic receptors play a central role in apoptotic cell clearance, a fundamental process that is highly conserved across species. Previous studies have identified two major phagocytic receptors in Drosophila: integrin αPS3βν and Draper, both of which contribute to apoptotic cell removal. However, the physiological significance of these receptors under normal developmental conditions remains unclear. Therefore, the aim of this study was to investigate the role of these receptors in developmental timing. The results demonstrated that double mutants lacking both receptors exhibited significant developmental delays, especially during the larval stage (p<0.001). Moreover, tissue-specific knockdown experiments revealed that phagocytic receptors within the fat body are mainly involved in regulating developmental timing (p=0.028). Further results established that nutrient availability influenced the extent of growth delay, suggesting that these receptors may play a role in nutrient-dependent growth regulation. Taken together, these findings suggest that phagocytic receptors contribute to maintaining proper growth timing in Drosophila larvae, potentially through energy metabolism pathways.
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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 | 0.000 | 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) | 0.002 | 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".