Part 5: Ectoparasites [Concepts in Animal Parasitology]
Bibliographic record
Abstract
Part V: Ectoparasites, chapters 60–67, pages 732–841, in Concepts in Animal Parasitology. 2024. Scott L. Gardner and Sue Ann Gardner, editors. Zea Books, Lincoln, Nebraska, United States; part V doi: 10.32873/unl.dc.ciap075 Platyhelminthes Chapter 60: Monogenea van Beneden, 1858 (Class) by Griselda Pulido-Flores, pages 733–742 Chapter 61: Transversotrematidae Witenberg, 1944 (Family): Ectoparasitic Trematodes by Scott C. Cutmore and Thomas H. Cribb, pages 743–746 Hirudinea Chapter 62: Hirudinea (Subclass): Parasitic Leeches by Alejandro Oceguera-Figueroa and Sebastian Kvist, pages 747–755 Arthropoda Chapter 63: Siphonaptera Latreille, 1825 (Order): Fleas by Marcela Lareschi, pages 756–770 Chapter 64: Phthiraptera (Order): Lice by Lajos Rózsa and Haylee J. Weaver, pages 771–789 Chapter 65: Triatominae Jannel, 1919 (Subfamily): Kissing Bugs by numerous authors cited from open access sources, compiled by Sue Ann Gardner, pages 790–797 Chapter 66: Ixodida Leach, 1815 (Order): Ticks by Darci Moraes Barros-Battesti, Valeria Castilho Onofrio, and Filipe Dantas-Torres, pages 798–835 Chapter 67: Acari Leach, 1817 (Subclass): Mites by David Evans Walter, Gerald W. Krantz, and Evert E. Lindquist, pages 836–841
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.136 | 0.068 |
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".