Bibliographic record
Abstract
To develop a chaetotaxy for heads of larval Simuliidae (Diptera: Culicomorpha), position of head sensilla relative to other structures, plus sensillar innervation, were used to establish homologies with head sensilla of larval mosquitoes (Culicidae). Cleared whole mounts of first- and later-instar larval simuliids were examined using light microscopy. Histological sections were used to determine innervation, as was in vivo methylene blue staining. First-instar larval simuliids have 18 primary sensillar pairs that allow homologies with sensilla of later-instar larval culicids to be established. These homologies can be tracked in later-instar larval simuliids even though numerous secondary sensilla are present and positions of primary sensilla change. Homologies could not be determined for antennal sensilla of larval simuliids. Innervation of cephalic sensilla from the brain is in agreement with embryological origin of the various head regions. Innervation patterns of cephalic sensilla appear conserved in culicomorphs and it is proposed that, when possible, sensillar innervation be used to establish chaetotaxies.
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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) | 0.002 | 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".