Bibliographic record
Abstract
970. Patania balteata (Fabricius, 1798: 457) (Phalaena) Type locality: India orientali = Botys crocealis Duponchel, 1834: 365, pl. 235 fig. 6 Type locality: Greece, Peloponnese, Moree & France, Montpellier = Botys aurantiacalis Fischer von Röslerstamm, [1840]: 213, pl. 75 fig. 3 Type locality: Croatia, Fiume [Rijeka] = Botys mysolalis Walker, 1866a: 1423 Type locality: Mysol [Misool, West Papua] = Botys aurea Butler, 1879e: 76, pl. 59 fig. 12 Type locality: Japan, Yokohama = Sylepta [sic] irregularis L. W. Rothschild, 1915a: 136 Type locality: Dutch New Guinea [Papua], Snow Mountains, Base Camp = Sylepta [sic] evergestialis Strand, 1918a: 51 Type locality: Taiwan, Kosempo = Pleuroptya balteata africalis P. Leraut, 2005: 85, fig. 38 Type locality: Côte d’Ivoire, Bingueville Distribution. Indian records: Poona, Bombay (Swinhoe 1885), throughout India (Hampson 1896b), Assam, Nilgiris, Kalkutta [Calcutta] (Klima 1939), North India (Rose & Dhillon 1980c), Kerala (Mathew & Menon, 1984), India (Poltavsky et al. 2018), West and Central Himalaya (Sanyal et al. 2018), Uttarakhand, Arunachal Pradesh, Chhattisgarh (Chandra et al. 2019), Andaman Islands (Rao & Sivaperuman 2020), Assam, Manipur (Reddy & Murthy 2021). Global records: S. Europe, Japan, China, Ceylon, Burma (Hampson 1896b), Nigeria (Rothschild 1921a), Vietnam (Tonkin) (de Joannis 1930), Dem. Rep. Congo (Ghesquière 1942), France (not recorded from Corsica), Spain, Italy, Sicilia (not recorded from Sardinia), Switzerland, ex-Yugoslavia, Bulgaria, Greece, Crete (Speidel 1996), Australia (Shaffer et al. 1996), Réunion (Viette & Guillermet 1996), Nepal (Yamanaka 1998), Taiwan, Japan, Nepal, Sri Lanka, Indonesia, Australia, S. Europe (Wang & Speidel, 2000), from India to China and Japan, passing through Vietnam, Ivory Coast, Senegal, Sudan, ex-French Congo, Dahomey, Oubangui, South Africa, Madagascar, Grande Comore (Leraut, 2005), Korea (Bae et al. 2008), Palaeotropical penetrates to Palaearctic, Benin, Cameroon, Comoros, Congo, DR Congo, Côte d’Ivoire, Gambia, Ghana, Madagascar, Mozambique, Niger, Nigeria, Réunion, Senegal, Sierra Leone, South Africa, Sudan, Zambia (De Prins & De Prins 2011–2021), Mali, Taiwan, China, Japan, South Europe (Poltavsky et al. 2018), Pakistan, Myanmar, Hong Kong, Thailand, Malaysia, Papua New Guinea, Solomon Island, Fiji, Korea, Africa, Madagascar, USA, Canada, Costa Rica (Chandra et al. 2019).
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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.025 |
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".