Notation of primary setae and pores on larvae of Dytiscinae (Coleoptera: Dytiscidae), with phylogenetic considerations
Bibliographic record
Abstract
An analysis of the primary setae and pores of first instars of 13 species of Dytiscinae was performed to deduce the ancestral system of primary setae and pores of the head capsule, head appendages, legs, last abdominal segment and urogomphus. One hundred and thirty-one setae, 69 pores and three setal groups have been assigned to the ground-plan pattern of the dytiscine larva, 27 setae and 20 pores on the head capsule; 30 setae, 25 pores and three setal groups on the cephalic appendages; 51 setae and 18 pores on the legs; 15 setae and three pores on the last abdominal segment; and eight setae and three pores on the urogomphus. A hypothesis of the phylogeny of the tribes of Dytiscinae is presented on a cladistic analysis of first instar chaetotaxy characters conducted using the program TNT. All tribes of Dytiscinae were included with larger tribes represented by multiple genera. Our concept of the subfamily Dytiscinae as defined on the basis of first instar chaetotaxy was found separated into three distinct clades: (1) Cybistrini, (2) Dytiscini + Hyderodini, and (3) Aubehydrini + Hydaticini + Eretini + Aciliini. The proposed relationships of the tribes of Dytiscinae are ((Cybistrini + (Hyderodini + Dytiscini)) + (Aubehydrini + (Hydaticini + (Eretini + Aciliini)))). Characters useful for phylogenetic analysis of the subfamily are described and illustrated.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".