Bibliographic record
Abstract
Tylonycteris robustula Thomas, 1915 Greater bamboo bat Tylonycteris robustula Thomas, 1915: 227; Upper Sarawak, Borneo. Distribution NE India, Myanmar, Cambodia, Lao PDR, Vietnam, S China to the Philippines, Sulawesi, Sumatra, Java, Bali, Borneo and Ambon Island (Moluccas). Distribution in Lao PDR (Fig. 70): Attapu Province: Houay Pha Camp, Xe Kaman, Dong Ampham NBCA; Nam Kama (Xe Kaman) (ROM collection); Champasak Province: Houay Kadan, Dong Khanthung proposed NBCA (ROM collection); Houaphan Province: Nam Chong, Nam Et NBCA (EBD collection); Khammouan Province: Ban Mouangkhai (Robinson and Webber, 2000); Ban Xam-Kang, Hin Namno NBCA (ROM collection); Ban Houana (CMF field record); Louangnamtha Province: Ban Si Udon (Ban Si-udon), Nam Ha NBCA; Ban Eng (CMF field record); Louangphabang Province: Nam Khan (EBD collection); Ban Sakok, Nam Et NBCA (CMF field record); Phongsali Province: Naten (Ban Naten), Nam Lan Provincial Protected Area (MNHN collection); Phong Saly (Phongsali) (FMNH collection) (specimen likely to be from Ban Makomen (Ban Khomen) see Bangs and Van Tyne, 1931); Vientiane Province: Ban Nathao (CMF field record).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".