Bibliographic record
Abstract
Parasitism is the most successsful feeding strategy in nature with an estimated 50% of species being parasitic. Gregarines are endoparasites living mostly in the midgut of invertebrates. Gregarines can have a positive and/or negative effect on its host depending on various factors such as environmental conditions. Cyphoderris monstrossa, an orthoptera, has a mating strategy in which the female feeds on the hind wings of males during mating. This mating strategy has shown to be energetically costly to males. Parasitism is also costly to species and combined with a costly mating strategy can be deadly to a species. Gregarines are very host specific and to date no research has been done on parasitism in Cyphoderris monstrossa. This study determined what effects these parasites have on male Cyphoderris in terms of 1) their body size, 2) body condition in terms of weight, 3) spermatophore production, and 4) their attractiveness. Since damaged hindwings indicate mating success, an increase in damage can indicate male attractiveness and thus can be used to determine the effects of parasites on male attractiveness. Thirty-seven specimens were measure and dissected and found that 37% of specimens were infected with infection ranging between 1 and 88000 and was determined that gregarines infect the digestive tract, specifically the midgut and into the hindgut. This study determined that gregarines do not affect the overall size, attractiveness, body condition, and spermatophore production of Cyphoderris monstrossa. Department: Biology Faculty Mentor: Dr. Kevin Judge
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 0.000 |
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".