Nebraska Invasive Plants Field Guide
Bibliographic record
Abstract
Invasive species are plants, animals or pathogens that are non-native to an ecosystem. They cause harm to the economy, environment or human health. They negatively affect native species and ecosystems and interfere with outdoor recreation opportunities. This guide identifies federal and state-listed noxious weeds. Federal noxious weeds are regulated by the U.S. Department of Agriculture; State noxious weeds are regulated by the Nebraska Department of Agriculture, Animal and Plant Health Protection, Noxious Weed Program. Aquatic invasive species are listed and regulated by Nebraska Game and Parks Commission. ABSINTH WORMWOOD • AMUR HONEYSUCKLE • AUTUMN OLIVE • BRITTLE NAIAD • CALLERY PEAR • CANADA THISTLE* • CUTLEAF & COMMON TEASEL • DALMATIAN TOADFLAX • EURASIAN WATERMILFOIL • EUONYMUS FORTUNEI • EUROPEAN BUCKTHORN • GARLIC MUSTARD • ‘GARRISON’ CREEPING FOXTAIL • GIANT REED • HOUNDSTONGUE • HYDRILLA** • JAPANESE HOPS • JAPANESE & GIANT KNOTWEED* • JAPANESE STILTGRASS • KUDZU • LEAFY SPURGE* • MEADOW KNAPWEED • MUSK THISTLE* • NARROWLEAF CATTAIL • OLD WORLD BLUESTEM • ORIENTAL BITTERSWEET • PALMER AMARANTH • PERENNIAL PEPPERWEED • PERRENIAL SOWTHISTLE • PHRAGMITES* • PLUMELESS THISTLE* • PURPLE LOOSESTRIFE* • RUSSIAN KNAPWEED • SAINT JOHN’S WORT • SALTCEDAR* • SALTLOVER • SCOTCH THISTLE • SERICEA LESPEDEZA* • SICKLEWEED • SPOTTED & DIFFUSE KNAPWEED* • SULPHUR CINQUEFOIL • SWEET AUTUMN VIRGIN’S BOWER • TREE-OF-HEAVEN • YELLOW BEDSTRAW • YELLOW FLAG IRIS • YELLOW STARTHISTLE • YELLOW TOADFLAX • WHITE MULBERRY
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.227 | 0.084 |
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".