Bibliographic record
Abstract
AUSTRALOMYMAR Girault, 1929 (Figs 45–49) Australomymar Girault, 1929 [431]: 343. Type species: Australomymar aurigerum Girault, 1929, by monotypy. Nesetaerus Doutt, 1955: 12. Type species: Nesetaerus gressitti Doutt, 1955, by monotypy. Synonymy by Lin et al., 2007: 25. Diagnosis. Fore wing (when present) with a diagonal fold and line of microtrichia extending from apex of venation to posteroapical margin of wing (Fig. 47); propodeum with widely spaced submedian carinae in anterior half, and plica and costula delimiting large areoles (Fig. 48); venation extending slightly more than 0.5 × wing length; marginal vein much longer than parastigma and with 2 macrochaetae, postmarginal vein apparently absent (Fig. 47); metasoma usually strongly compressed, with ovipositor forming large basal loop (Fig. 49b) and strongly exserted, with several setae along length of exserted part of each ovipositor sheath (Figs 49a). Remarks. Australomymar belongs to the Australomymar group of genera. Australomymar is similar to several genera from the Australian region, particularly those from New Zealand (Noyes & Valentine 1989). The ovipositor sheath with several setae along its length is unique among the Neotropical genera. Neotropical hosts. Orthoptera. Distribution. No named species in the Neotropical region. Specimens are from Argentina (Luft Albarracin et al. 2014), and other countries as far north as Cuba (CNC, UCRC). Important reference. Lin et al. (2007).
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".