Bibliographic record
Abstract
215. Least Yellow Bat Rhogeessa mira French: Rhogeessa menue / German: Kleinste Gelbfledermaus / Spanish: Rogesa menuda Taxonomy. Rhogeessa (Rhogeessa) mira LaVal, 1973, “ 20 km N El Infiernillo, Michoacan, Mexico, elevation 125 m.” See R. parvula. Sympatric with R. parvula and R. alleni. Monotypic. Distribution. Known from only a few records between the villages of El Infiernillo and Zicuiran, Michoacan, S Mexico. Descriptive notes. Head-body ¢.38 39 mm, tail 26-33 mm, ear 10-13 mm, hindfoot 5-6 mm, forearm 25-27- 8 mm; weight 3 g (one specimen). The Least Yellow Batis the smallest species in the genus. General coloration is yellowish; dorsally bicolored, with buckthorn brown to buffbrown tips and butffier bases, and no strong contrast between bases and tips; ventrally no contrast between bases and tips, with coloration similar to bases of dorsal fur. Ears dark, contrasting sharply with fur. Uropatagium sparsely furred, with hairs reaching knee or past it. Skull small, with moderate slope on forehead; sagittal crest absent. 1,18 slightly smaller than I; cingulum of C' has soft edges. Habitat. Semiarid areas of xeric shrub vegetation dominated by mesquites and cacti. Has been captured over streams in gallery forest and thorn scrub. Altitudinal range 125-340 m. Food and Feeding. Stomach contents of five individuals yielded 68-8% Coleoptera, with Scarabaeidae most abundant; Diptera was the second highest (10%), with Dixidae commonest; less abundant were Lepidoptera (4%), Hemiptera (3:2%), Hymenoptera (1%), Neuroptera (1%), and Blattodea (0-5%), with 11-5% unidentified items. Breeding. No information. Activity patterns. No information. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Vulnerable on The IUCN Red List. Considered rare, and its restricted distribution of the Rio Balsas Basin represents an extent of occurrence of only ¢. 6700 km ®. The development of a dam in the area is leading to habitat loss, changes in forest cover, and changes in river cycles. Bibliography. Alvarez & Avifa (1965), Alvarez-Castaneda & Gonzalez-Ruiz (2018), Arroyo-Cabrales & Baker (2014e), Arroyo-Cabrales & Ospina-Garces (2016a), Arroyo-Cabrales & Polaco (1997), Baird et al. (2008, 2009), LaVal (1973a), Loera-Padilla et al. (2017), Simmons (2005).
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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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.037 | 0.017 |
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".