Bibliographic record
Abstract
Miniopterus magnater Sanborn, 1931 Large bent-winged bat Miniopterus schreibersii magnater Sanborn, 1931: 26; Marien- burg, 40 miles up the Sepik River, Papua New Guinea. Distribution NE India, SE China, Myanmar, Thailand, Lao PDR, and Vietnam to Malaysia, Sumatra, Java, Timor (Indonesia), Borneo, Moluccas and New Guinea including the Bismarck Archepelago. Distribution in Lao PDR (Fig. 87): Bolikhamxai Province: Ban Kengbit, Nam Kading NBCA; Tamank Hou Cave (Tham Ankhou) (SMF collection); Champasak Province: Ban Nam On, Dong Hua Sao NBCA (ROM collection); Houaphan Province: Ban Buaphath, Nam Et NBCA (ROM collection); Khammouan Province: Ban Potong (Robinson and Webber, 2000); Ban Houana; Ban Louang; Ban Xam-Kang, Hin Namno NBCA (ROM collection); Louangphabang Province: Nam Khan (EBD/ROM collection); Vientiane Province: Danyai (Dan Gnai), Phou Khaokhoay NBCA (EBD collection).
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) | 0.001 | 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) | 0.016 | 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".