Validation of Psomizopelma metallicum Gibson, 2018 (Hymenoptera: Eupelmidae)
Bibliographic record
Abstract
Gibson (2018) recently revised the species of Psomizopelma Gibson, 1995 (Hymenoptera: Eupelmidae), in which P. metallicum was described based on females as one of four new species. In the section on "type material" for this species, one paratype was stated as deposited in the CNC (Canadian National Collection of Insects, Arachnids and Nematodes, Agriculture and Agri-Food Canada, Ottawa, ON, Canada), whereas the holotype and three other paratypes were stated as deposited in UCFC (University of Central Florida Collection of Arthropods, Orlando, FL, USA). The coden CNC, including the name of the collection and its location was listed in the methods section, but unfortunately the coden UCFC and its relevant collection and location data was inadvertently omitted. As such, under Article 16.4.2 of the International Code of Zoological Nomenclature, the name Psomizopelma metallicum Gibson is not available, because even though a museum coden was given in the publication for where the holotype is deposited, the name and location of the collection was not. The purpose of this correspondence is to correct the oversight in Gibson (2018) and to make the name P. metallicum available. The method of citing holotype label data and abbreviations for structure given below as well as a comprehensive description and illustrations of the species are given in Gibson (2018).
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".