Bibliographic record
Abstract
Myotis horsfieldii Temminck, 1840 Horsfield’s myotis Vespertilio horsfieldii Temminck, 1840: 226; Mount Gede, Java. Distribution India (incl. Andaman Islands), SE China, Thailand, Myanmar, Lao PDR, Vietnam, W Malaysia, Java, Bali, Sulawesi, Borneo, Philippines. Distribution in Lao PDR (Fig. 48): Attapu Province: Ban Paam, Dong Ampham NBCA; Nam Kama (Xe Kaman); Xe Kaman River proposed dam site, Dong Ampham NBCA (ROM collection); Houay Pha Camp, Xe Kaman, Dong Ampham NBCA; Upper Xe Kaman, Dong Ampham NBCA (CMF field record); Bolikhamxai Province: Nam Pan; Tak Leuk (Tad Leuk), Phou Khaokhoay NBCA (ROM collection); Ban Kengbit, Nam Kading NBCA (SMF collection); Champasak Province: Houay Phak, Dong Khanthung proposed NBCA (ROM collection); Houaphan Province: Nam Chong, Nam Et NBCA (EBD collection); Ban Chak, Nam Et NBCA (EBD/ROM collections); Ban Buaphath, Nam Et NBCA (ROM collection); Dam on Nam Et, Nam Et NBCA (CMF field record); Khammouan Province: Nam Pakkatan, Nakai Plateau (ROM collection); Louangnamtha Province: Ban Namya; Ban Phoulan; Nam Tha Riverbank near Ban Si Udon (Ban Siudon) (ROM collection); Ban Eng; New Ban Namsing (Ban Namsing-mai) (CMF field record); Louangphabang Province: Ban Sakok, Nam Et NBCA; Nam Khan, Nam Et NBCA (CMF field record); Phongsali Province: Sopkhang (Ban Ouang) (MNHN 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) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".