Descripción de cuatros especies nuevas del género Amnestus Dallas (Hemiptera: Heteroptera: Cydnidae) de México
Bibliographic record
Abstract
This dataset contains the digitized treatments in Plazi based on the original journal article Mayorga Martínez, María Cristina, Mayorga Villalobos, Alfredo (2017): Descripción de cuatros especies nuevas del género Amnestus Dallas (Hemiptera: Heteroptera: Cydnidae) de México. Dugesiana 24 (2): 215-220, DOI: 10.32870/dugesiana.v24i2.6675, URL: https://doi.org/10.32870/dugesiana.v24i2.6675ABSTRACTFour new species of Amnestus Dallas, 1851 (Hemiptera: Heteroptera: Cydnidae) from the Mexican states of Veracruz and Oaxaca, are described and illustrated.Key words: Burrowing bugs, Insecta, Oaxaca, Veracruz.Amnestus Dallas, 1851 y Latinettus Eger, 2008 son los únicos géneros de la familia Cydnidae reconocidos para la subfamilia Amnestinae (Hemiptera: Heteroptera). Las especies de Amnestus se reconocen por su tamaño muy pequeño y por las 4 o 5 espinas marginales en las jugas (Froeschner 1960). Por otra parte, las especies de Lattinestus se distinguen por la falta de ocelos y por tener la membrana hemelitral reducida, que ocupa un séptimo o menos de la longitud total del hemélitro (Eger 2008). Froeschner (1960) revisó Amnestus e incluyó en este género 20 especies distribuidas desde el oeste de Ontario, Canadá, pasando por Estados Unidos de América, México, América Central, Antillas y hasta América del Sur, en Argentina. Mayorga y Cervantes (2001, 2005, 2014) describieron, además, 18 especies nuevas de este último género para México, así como 2 especies nuevas en Guatemala (Mayorga y Cervantes 2009, Mayorga 2015) Hasta ahora, en México el género Amnestus está representado por 29 especies distribuidas en los estados de Campeche, Chiapas, Durango, Hidalgo, Nuevo León, Morelos, Oaxaca, San Luis Potosí, Sinaloa y Veracruz.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".