Phylogenetic Analysis of Hydroporinae (Coleoptera: Dytiscidae) Based on Larval Morphology, with Description of First Instar of <I>Laccornellus lugubris</I>
Bibliographic record
Abstract
The first instar of Laccornellus lugubris (Aubé) is described. A parsimony analysis of selected taxa of the subfamily Hydroporinae based on 48 informative larval characters was conducted using the program PAUP*. The 100 most parsimonious trees support a placement of Laccornellus Roughley & Wolfe outside the tribe Hydroporini as part of a clade made up of Hydrovatus Motschulsky + Canthyporus Zimmermann, which is supported by the absence of the primary seta UR8 and of the primary seta LA2, and the spine-like condition of the primary seta AB10. Larvae of Laccornellus evolved one unique character state within the Hydroporinae, which is the presence of the primary seta AB15 on ventral surface of last abdominal segment.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".