Identification and geographical distribution of the mosquitoes of North America, north of Mexico
Bibliographic record
Abstract
Greatly anticipated and sorely needed, this book updates the successful guide to North American mosquitoes published by the American Mosquito Control Association in 1981. It includes 12 new species that have since been added to the North American mosquito fauna, revised distribution maps of all species, and revised and completely illustrated identification keys for the adult females and fourth instar larvae of all 174 species and subspecies known to occur in North America, north of Mexico. In chapters on adult and larval morphology, the coauthors - both world-renowned in their field of taxonomy - discuss the anatomical structures mentioned in the keys and pictured on full-page plates. They provide separate generic keys for adult females and larvae and keys to the species of each genus. In addition, they show the geographical distribution of each taxon in a series of maps and include a synopsis of the occurrence of species in the states and provinces of the United States and Canada. This book's usefulness to mosquito control programs cannot be overestimated. For example, it deals with 9 exotic species that have been introduced and today successfully thrive in North America. Several are increasing their range and this book will help identify these species when they first invade an area. Because of the occurrence of mosquito-borne diseases and the widespread distribution of mosquitoes as pests to humans, professionals must know how to identify them. With its wealth of up-to-date information, this book is the only one of its kind available for specialists working on mosquito-borne diseases and in mosquito control units and for both introductory and advanced students who study entomology.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".