Heteragrion muryense Costa & Santos 2000
Bibliographic record
Abstract
Heteragrion muryense Costa & Santos, 2000 (Figs. 51a–d) [Key locator: Key to Group A species, couplet 19 (2’)] Heteragrion muryense: Costa & Santos 2000: 1–8 (description and diagnosis of ♁ and ♀; key to species of Heteragrion recorded to Rio de Janeiro state, ♁ in couplet 2’; figs. 1–8);— Lencioni 2005: 136 (data on description and distribution, illustration from Costa & Santos 2000; figs. 85a–h);— Machado & Bedê 2006: 50–52 (differences from H. tiradentense, H. petiense, H. flavovittatum and H. ovatum);— Garrison et al. 2010: 88 (list of Heteragrion species);— Lencioni 2013: 12 (synonymic list, types, distribution, diagnosis; figs. 20–21, 36a–c, 45a–c, 48a–b, 53a–b, 68);— Lencioni 2017: 151–152 (general taxonomic information; distribution; figs. 75–76);—Ávila-Jr. et al. 2020: 121–130 (comparison with H. itacolomii). Material examined. 2♁♁ BRAZIL, Rio de Janeiro state, Nova Friburgo, Pico São João, 26.i.1996, (type locality, 1500m asl), Mielke leg., ABMM. Known distribution. Brazil (Nova Friburgo, Rio de Janeiro state). Diagnosis and remarks. This is a very rare and unique species, which has been collected on only two occasions (1990 and 1996), not seen ever since, and assessed as Data Deficient in the IUCN Red List (Vilela & Guillermo-Ferreira 2021h). The following character combination distinguishes this species from the remainder of Group A species: BP uniquely consisted of a long, narrow ventral branch (Fig. 51c–d); upper plate small, shaped like an inverted triangle, bearing a small row of teeth posteriorly; ridge fused with ML up to 1/2 of lower plate (Figs. 51c–d).
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".