Scrobipalpa frugifera Povolny 1969
Bibliographic record
Abstract
Scrobipalpa frugifera Povolný, 1969 Figs 30, 87, 140 Scrobipalpa frugifera Povolný 1969: 8. Scrobipalpa hypothetica Povolný, 1973: 20. Material examined. 1 ♂, Russia, Altai Republic, Kosh-Agach District, Kurai env. (6,5 km SW), 50°10′35″N, 87°53′55″E, grassy steppe, 1550 m, 9–10.vii.2014 (Šumpich) (Barcode NMPC-LEP-0570) (gen. slide 186/21, OB) (NMPC); 1 ♂, Russia, Altai Mts, 50°14-16’N 87°50-55’E, Kuraisky hrebet, 2300 m, 13.vii.2001 (Nupponen) (gen. slide 301/16, OB) (NUPP). 1 ♀, SE Kazakhstan, Uigur distr., Tchundzha vill. 15 km NW, Jasenevaya roshcha loc., 15.v.1991 (Ustjuzhanin) (gen. slide) (ZMKU). 1 ♀, Mongolia, Bulgan aimak, 11 km W von Somon, Bajannuur am See Bajannuur, 1000 m, Exp. Dr. Z. Kaszab, 1968 | Nr. 958, 14.vi–24.vii.1968 (gen. slide 287/19, OB) (HNHM). Molecular data. BIN: BOLD:AEL6756. The intraspecific average distance of the barcode region is 1.5% (n=2). The minimum distance to the nearest neighbour, an unidentified species of Scrobipalpa from Canada (BIN: BOLD:AAG9134), is 2.25%. Distribution. Russia: Kalmykia (Anikin & Piskunov 2003: 70), Altai, Tuva, South of Krasnoyarskiy kraі, Buryatia, Zabaikalskiy krai, Khabarovskiy kraі (Ponomarenko 2008: 96; Bidzilya 2009: 5); Kazakhstan (new record), Kyrgyzstan (Povolný 1996: 31), Mongolia (Povolný 1969: 8). Remarks. An unidentified species of Scrobipalpa from Canada (BIN: BOLD: AAG9134) (Nazari & Landry 2012: 35, fig. 64) matches S. frugifera from Siberia in the male and female genitalia. However, a 2.25% (p-dist) from the male from Altai (BIN: BOLD:AEL6756) suggests further study to clarify if two species are involved.
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".