ScaleNet: Scale Insects (Coccoidea) Database
Bibliographic record
Abstract
The objective of this database is to provide comprehensive information on the scale insects (Coccoidea) of the world, of which there are about about 7,800 species. Scale insects vary dramatically in their appearance from very small organisms (1-2mm) that occur under wax covers (some look like oyster shells), to shiny pearl-like objects (about 5mm), to creatures covered with mealy wax. They spend most or all of their lives feeding on plants and are primarily important as plant pests in greenhouses, backyards, and on fruit trees. Scale insects damage millions of dollars worth of food, ornamental, fiber and greenhouse crops each year. Until ScaleNet, information about the pests was buried in thousands of scientific journals and books, making it difficult for the average person to locate. The Agricultural Research Service developed ScaleNet with colleagues in Israel and Canada. It will allow anyone to locate every scale insect that experts over the centuries have found and named. Through keyword searches and other queries, ScaleNet provides comprehensive information including the insects' biology, classification, naming history, distribution, plant hosts, economic importance, controls and scientific literature about them. Currently, information can be retrieved for 49 families, namely Aclerdidae (grass scales), Albicoccidae, Arnoldidae, Asterolecaniidae (pit scales), Beesoniidae, Burmacoccidae, Callipappidae, Carayonemidae, Cerococcidae (ornate pit scales), Coccidae (soft scales), Coelostomidiidae, Conchaspididae (false armoured scales), Dactylopiidae (cochineal scales), Diaspididae (armoured scale insects), Electrococcidae, Eriococcidae (felt scales), Grimaldiellidae, Grohnidae, Halimococcidae, Hammanococcidae, Inkaidae, Jersicoccidae, Kermesidae (gall-like scales), Kerriidae (lac scales), Kukaspididae, Kuwaniidae, Labiococcidae, Lebanococcidae, Lecanodiaspididae (false pit scales), Lithuanicoccidae, Marchalinidae, Margarodidae (ground pearls), Matsucoccidae (bast scales), Micrococcidae, Monophlebidae, Ortheziidae (ensign scales), Pennygullaniidae, Phenacoleachiidae, Phoenicococcidae (date scales), Pityococcidae, Pseudococcidae (mealybugs), Putoidae, Rhizoecidae, Serafinidae, Steingeliidae, Stictococcidae, Stigmacoccidae, Weitschatidae, and Xylococcidae. The Reference database of ScaleNet includes about 25,000 references, the majority of which have been published since Linnaeus (1758). However, it also contains several pre-Linnean publications that are relevant to the nomenclature and systematics of the Coccoidea. Funding information to 2015: Originally ScaleNet was funded by United States-Israel Binational Agricultural Research and Development Fund (BARD) (Grant Numbers IS-2423-94 and IS-2605-95). Additional funding was supplied by the Systematic Entomology Laboratory to fund an additional computer, and two contracts to enter bibliographic information. The Agricultural Research Service of the USDA provided funding for a technical information specialist. Future grant funding to sustain ScaleNet to be added when available.
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.551 | 0.738 |
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".