Bibliographic record
Abstract
This chapter deals with the conventional separation of crustaceans and insects. A number of crustaceans are maintained as pets and display animals in marine aquaria, especially shrimp. There are six classes within the subphylum Crustacea: Cephalocarida, Branchiopoda, Ostracoda, Remipedia, Maxillopoda, and Malacostraca. The types of diseases affecting crustaceans are in many cases similar to those affecting aquatic vertebrates and terrestrial mammals. Gas bubble disease is a noninfectious condition in aquatic organisms caused by supersaturated levels of total dissolved gas in water. Shell disease is a common term for areas of erosion and melanization in the exoskeleton in crustaceans. White spot disease is caused by white spot syndrome virus, the only member of the genus Whispovirus . Necrotizing hepatopancreatitis is a newly emerging disease caused by infection with the pathogenic agent Hepatobacter penaei . Hematodiniosis is a fatal disease of crustaceans caused by parasitic dinoflagellates of the genus Hematodinium .
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.068 | 0.032 |
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".