Taxonomic problems in the subgenus <i>Meloehelea</i> Wirth of the genus <i>Atrichopogon</i> Kieffer (Diptera: Ceratopogonidae) inferred from both morphological and molecular characters
Bibliographic record
Abstract
The classification of Meloehelea (Ceratopogonidae) species is based on morphological characters. The taxonomic revision of generally well-known species recovered interesting facts on possible geographic intraspecific variability or on the presence of an additional valid species. In this study, 5 European species and 2 species from the U.S.A. and Canada have been compared based on their morphological characters. Subsequently, the 16S rDNA sequences analyses of well known European species have been performed to confirm the characters mentioned in the determination key ofthis subgenus. Although, this study was limited by the number of examined non-European specimens, it provides some interesting facts on the possible morphological variability of well-known species and also an initial phylogenetic backbone for the progressive reconstruction of infrageneric relationships within the genus Atrichopogon.
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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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".