Stictoptera macromma Snellen 1880
Bibliographic record
Abstract
99. Stictoptera macromma Snellen, 1880: 87 TL: [Indonesia], Celebes, Takalar = Stictoptera striata Hampson, 1894: 402 (TL: Sikkim) = Stictoptera atrifera Hampson, 1912: 167 (TL: Singapore) = Stictoptera ochrota Hampson, 1912: 160 (TL: Shimla, Punjab) = Stictoptera polysticta Prout, 1924: 427 (TL: Dutch New Guinea) Distribution. Indian records: Himachal Pradesh (Shimla), Sikkim. Global records: Indo-Australian tropics, Malaysia, Vietnam, New Guinea, China (Qi et al. 2011). Remarks. Stictoptera ochrota Hampson was originally mentioned from Shimla which was under Punjab province at that time. The localities such as Dalhousie, Kullu, Shimla etc. earlier considered in Punjab are now part of Himachal Pradesh state in India. Further, Stictoptera vitiensis Hampson, 1912: 159 from Fiji is probably a race of S. macromma as per Holloway (1985). It was mentioned in the list from Indian Himalaya by Sanyal et al. (2018). Further, confirmation of S. vitiensis from India is needed and not included in this list.
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 | 0.002 | 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) | 0.017 | 0.008 |
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".