An ecological classification of primary labral fans of filter-feeding black fly (Diptera: Simuliidae) larvae
Bibliographic record
Abstract
A conceptual model that uses labral-fan structure to predict the distribution of black fly species within a catchment is proposed. The model is based on water flow, seston availability, and the structure of the primary labral fans of mature black fly larvae from southern Africa. The model predicts that black fly larvae found in fast-flowing (>1.0 m/s) seston-rich (>50 mg/L) water will tend to have strong fans with a porous ray structure, whereas larvae found in slow-flowing (<0.5 m/s) seston-poor (<10 mg/L) water will tend to have weak fans with a complex structure and larvae found in water with moderate water velocities and moderate seston levels will tend to have a standard fan structure. The model was tested against black flies from other parts of the world, particularly Polynesia, and provides a useful framework for predicting the distribution of black fly species within a catchment. Exceptions to the model were found among phoretic species. The model should predict changes in black fly species in areas where anthropogenic changes to watersheds are occurring.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".