Rousettus amplexicaudatus Geoffroy 1810
Bibliographic record
Abstract
Rousettus amplexicaudatus Geoffroy, 1810 a Geoffroy’s rousette Pteropus amplexicaudatus Geoffroy, 1810 a: 96; Timor Islands. Distribution Cambodia, Vietnam, Thailand, Myanmar, Lao PDR; Yunnan (China); Peninsular Malaysia, Borneo, Sumatra, Java, Bali; Philippines, New Guinea, Bismarck Archipelago and adjacent islands; Solomon Islands. Distribution in Lao PDR (Fig. 2): Attapu Province: Ban Paam, Dong Ampham NBCA (EBD collection); Xe Kaman River proposed dam site, Dong Ampham NBCA (EBD/ROM collection); Champasak Province: Ban Taong, Xe Pian NBCA (Robinson, 1998); Nam Phak River, Dong Hua Sao NBCA (HNHM collection); Ban Sounot, Dong Hua Sao NBCA; Houay Kadan, Dong Khanthung proposed NBCA (ROM collection); Khammouan Province: Ban Tonglom (Ban Thonglom); Tam En (Tham En); Tam Key Thea (Tham Keythea); Tam Pha Tok Camp (Tham Phatok); Tam Thea (Tham Tem) (Robinson and Webber, 2000); Tham Pha Luesi (Tham Phaleusy) (HI collection); Ban Mouangkhai (ROM collection); Louangnamtha Province: Tham Banthung; Tham Pasatthia 3 (HI collection); Vientiane Province: Pha Hom (Ban Phahom); Pha Tang Village (Ban Phathang) (FES 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 | 0.000 |
| 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) | 0.007 | 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".