Anagrus (Anagrus) virlai Triapitsyn 2019
Bibliographic record
Abstract
Anagrus (Anagrus) virlai Triapitsyn, 2019 Anagrus (Anagrus) virlai Triapitsyn in Triapitsyn et al., 2019: 91; holotype ♀ (UCRC). TL: Mexico, Jalisco, Zapopan. Luft Albarracin et al., 2021: 4 (host ovipositon site effect on parasitism level); Hill et al., 2023: 132 (hosts, host specificity and performance, parasitism rates). Anagrus virlai: Becerra-Chiron et al., 2020: 210 (effect of host age and oviposition period on parasitism); Hill et al., 2019: 75 (effects of host species and host age); Hill et al., 2020: 579 (adult diet influence); Coll-Aráoz et al., 2020: 907 (attraction to host plant volatiles); Moya-Raygoza, 2020: 50 (host, abundance); Moya-Raygoza & Figueroa-Bautista, 2021: 451 (suitability of hybrid maize plants as hosts); Torres-Moreno & Moya-Raygoza, 2020: 3 (response to host density); Torres-Moreno & Moya-Raygoza, 2021: 1090 (parasitism by parasitic wasps on maize); Moya-Raygoza & Figueroa-Bautista, 2021: 752 (suitability of hybrid and landrace maize as hosts); Hill et al., 2023: 132 (host specificity and performance on different leafhopper species); Hill et al., 2024: 88 (plant volatile consequences); Moya-Raygoza, 2024: 2 (effect of host egg microfilaments against parasitoids). Anagrus breviphragma Soyka, 1956a: 25; lectotype ♀ (NHMW), effectively designated by Chiappini, 1989: 105; see Triaptsyn & Berezovskiy, 2002a: 15. TL: country and locality not given. Synonymy by Triapitsyn, 2015b: 216. Anagrus breviphragma [misidentification]: Triapitsyn, 1997: 2 (key); Oliveira & Spotti López, 2000: 266 (host, percent parasitism, Brazil); Virla, 2001: 240 (biology); Virla, 2004: 138 (mention, host); Luft Albarracin et al., 2005: 258 (host); Luft Albarracin et al., 2006: 284 (host); Luft Albarracin et al., 2009: 5 (list, distribution and hosts in Argentina); Moya-Raygoza et al., 2012: 107 (percent parasitism, Argentina, Mexico); Foieri et al., 2013: 70 (percent parasitism, host, Argentina); Virla et al., 2013: 4 (distribution, percent parasitism, Argentina); Luft Albarracin et al., 2014: 136 (list); Moya-Raygoza et al., 2014: 310 (hosts, Mexico); Luft Albarracin et al., 2017: 673 (synonymy mentioned); Moya-Raygoza et al., 2017: 807 (host, Mexico); Meurgey & Ramage, 2020: 49 (list, Guadeloupe). Anagrus (Anagrus) breviphragma [misidentification]: Triapitsyn, 1997: 6 (host, Argentina, Brazil, Guadeloupe, Guiana); Triapitsyn, 2000a: 214 (key, Argentina, Brazil); Triapitsyn, 2002a: 215 (key), 217 (host, Colombia); Moya-Raygoza et al., 2012: 107 (percent parasitism, Argentina, Mexico); Triapitsyn, 2015a 12 (key), 27 (description, Argentina, Brazil, Colombia, Guadeloupe, Guyana), 42 (list, synonyms). Anagrus (Anagrus) incarnatus [misidentification]: Triapitsyn, 1997: 7 (hosts, distribution, Juan Fernández Islands?); De Santis, 1989: 71 (Antilles); Triapitsyn, 2015a: 12 (key), 33 (description, Guyana, Honduras, Panama, Trinidad & Tobago, 42 (list, synonyms). Neotropical hosts. Cicadellidae: Agalliana ensigera Oman, Chlorotettix fraterculus (Berg), Ciminius platensis (Berg), Dalbulus elimatus (Ball), D. maidis (DeLong & Wolcott), Dechacona missionum (Berg), Exitianus obscurinervis (Stål), Hortensia similis (DeLong & Wolcott), Xeroploea viridis (Fabricius). Delphacidae: Delphacodes kuscheli Fennah, Peregrinus maidis (Ashmead). Distribution. Argentina, Brazil, Colombia, Guadeloupe, Guyana, Honduras, Panama, Trinidad & Tobago.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.007 |
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; both teacher heads agree on what is shown here.
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".