Bibliographic record
Abstract
Hypsugo cadornae Thomas, 1916 Cadorna’s pipistrelle Pipistrellus cadornae Thomas, 1916: 416; Pashok, Darjeeling, NE India. Distribution NE India, Myanmar, Thailand, Vietnam, Lao PDR. Distribution in Lao PDR (Fig. 61): Attapu Province: Nam Kama (Xe Kaman) (ROM collection); Houaphan Province: Ban Chak, Nam Et NBCA (EBD /ROM collections); Khammouan Province: Pha Deng (ROM collection); Louangphabang Province: Ban Sakok, Nam Et NBCA (ROM collection). Taxonomic note Additional specimens of Hypsugo are in the collections of EBD/ROM which have not been assigned to either H. cadornae or H. pulveratus. Locality records in Lao PDR for these Hypsugo sp(p). are as follows: Houaphan Province: Ban Buaphath, Nam Et NBCA (EBD/ROM collections); Nam Chong, Nam Et NBCA (ROM collection); Louangphabang Province: Ban Sakok, Nam Et NBCA (ROM collection); Nam Khan (EBD/ROM collections). Records of a third species of Hypsugo listed in Francis et al. (2010) as Hypsugo CMF sp. A are as follows: Attapu Province: Houay Pha Camp, Xe Kaman, Dong Ampham NBCA; Xe Kaman River proposed dam site, Dong Ampham NBCA (ROM 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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".