Bibliographic record
Abstract
Abstract A new distribution map is provided for Erinnyis ello (Linnaeus) Lepidoptera: Sphingidae Attacks mainly cassava ( Manihot esculenta ), also rubber ( Hevea brasiliensis ), pawpaw ( Carica papaya ) and Euphorbia pulcherrima. Information is given on the geographical distribution in NORTH AMERICA, Canada, Ontario, Mexico, USA, Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Illinois, Kentucky, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, Nevada, New Jersey, New Mexico, New York, North Dakota, Oklahoma, Oregon, Pennsylvania, Texas, Utah, West Virginia, CENTRAL AMERICA & CARIBBEAN, Antigua and Barbuda, Bahamas, Barbados, Belize, British Virgin Islands, Cayman Islands, Costa Rica, Cuba, Dominica, Dominican Republic, El Salvador, Grenada, Guadeloupe, Guatemala, Haiti, Honduras, Jamaica, Martinique, Montserrat, Nicaragua, Panama, Puerto Rico, St Barthelemy, St Kitts-Nevis, St Lucia, St Vincent and Grenadines, Trinidad and Tobago, United States Virgin Islands, SOUTH AMERICA, Argentina, Bolivia, Brazil, Amazonas, Bahia, Ceara, Espirito Santo, Goias, Mato Grosso, Mato Grosso do Sul, Minas Gerais, Para, Parana, Rio de Janeiro, Santa Catarina, Sao Paulo, Colombia, Ecuador, French Guiana, Galapagos Islands, Guyana, Paraguay, Peru, Suriname, Uruguay, Venezuela.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.321 | 0.153 |
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".