Illidops albostigmalis van Achterberg & Fernandez-Triana 2017
Bibliographic record
Abstract
Illidops albostigmalis van Achterberg & Fernandez-Triana, 2017 Fig. 6 Illidops albostigmalis van Achterberg & Fernandez-Triana, 2017: 219, pls 42–48. Type material Holotype YEMEN – Lahj • ♀; Lahij; Feb. 2001; A. van Harten and A. Sallam leg.; Malaise trap; BOLD Sample ID: WAM 0210; RMNH, RMNH’02. Other material examined EGYPT – Qalyubia • 1 ♀; El-Obour District; 30.247° N, 31.545° E; 118 m a.s.l.; 1 Oct. 2019; S. Zalat leg.; BOLD Process ID: GMEEO138-21; CBG, BIOUG68113-A11. Species concept Our species concept is based on our observations of the type material and the information in Fernandez-Triana & Achterberg (2017) → ***. Ecology / host information Crambidae: Prophantis sp. Two male specimens from Yemen (Hammam ‘Ali) were reared ex Prophantis sp. (Crambidae), labelled ‘coffee berry moth’. These specimens are not included in the type series. Distribution AFR: United Arab Emirates, Yemen; PAL: Egypt. Molecular data BOLD:AAD8583. Remarks Thus far this species was known only from the Afrotropical region, but bordering the Palearctic.With a public record in the BIN associated with I. albostigmalis van Achterberg & Fernandez-Triana, 2017 from Egypt (accessible from https://v4.boldsystems.org/index.php/Public_RecordView?processid=GMEEO138-21) and private data from other Palearctic countries, the distribution range clearly reaches into the Palearctic region. BIN BOLD:AAD8583 also includes sequences linked to specimens from Israel, Nigeria, Pakistan, and South Africa, so the species is likely more widely distributed than currently known. However, this includes private data. This species has been reared from Prophantis sp. (Crambidae), labeled as ‘coffee berry moth’ (Fernandez-Triana & van Achterberg 2017).
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 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".