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Record W4239737271 · doi:10.1079/dmpp/20066600256

<i>Aphis spiraecola</i> . [Distribution map].

2006· article· en· W4239737271 on OpenAlexaboutno aff
CABI, EPPO

Bibliographic record

VenueDistribution Maps of Plant Pests · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsGeographySocioeconomics

Abstract

fetched live from OpenAlex

Abstract A new distribution map is provided for Aphis spiraecola Patch Hemiptera: Aphididae Attacks young growth of shrubby plants, especially Citrus, stone and other fruits. Information is given on the geographical distribution in EUROPE, Croatia, France, Corsica, Mainland Franca, Greece, Mainland Greece, Italy, Mainland Italy, Sardinia, Sicily, Malta, Netherlands, Portugal, Mainland Portugal, Russia, Russian Far East, Spain Balearic Islands, Canary Islands, Mainland Spain, Switzerland, UK, England and Wales, ASIA, Bangladesh, Brunei Darussalam, China, Fujran, Guangdong, Hebei, Hong Kong, Sichuan, Zhejiang, Cyprus, Republic of Georgia, India, Andaman and Nicobar Islands, Assam, Bihar, Himachal Pradesh, Jammu and Kashmir, Karnataka, Kerala, Maharashtra, Meghalaya, Orissa, Punjab, Sikkim, Tripura, Uttar Pradesh, West Bengal, Indonesia, Irian Jaya, Java, Sulawesi, Iran, Israel, Japan, Hokkaido, Honshu, Kyushu, Ryukyu Archipelago, Jordan, Korea Republic, Laos, Lebanon, Malaysia, Peninsular Malaysia, Sabah, Sarawak, Maldives, Nepal, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Turkey, Vietnam, AFRICA, Algeria, Benin, Burundi, Cameroon, Central African Republic, Congo, Cote d'Ivoire, Egypt, Ethiopia, Ghana, Kenya, Libya, Malawi, Mauritius, Morocco, Mozambique, Nigeria, Reunion, Rwanda, Senegal, South Africa, Tunisia, Zimbabwe, NORTH AMERICA, Canada, Alberta, British Columbia, Manitoba, New Brunswick, Ontario, Quebec, Mexico, USA, Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Montana, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, CENTRAL AMERICA & CARIBBEAN, Bahamas, Barbados, Belize, Bermuda, Costa Rica, Cuba, Dominica, Dominican Republic, El Salvador, Guadeloupe, Honduras, Jamaica, Martinique, Netherlands, Antilles, Panama, Puerto Rico, St Vincent and Grenadines, Trinidad and Tobago, United States, virgin Islands, SOUTH AMERICA, Argentina, Bolivia, Brazil, Ceara, Espirito Santo, Goias, Minas Gerais, Para, Parana, Pemambuco, Piaui, Rio Grande do Sul, Rio de Janeiro, Santa Catarina, Sao Paulo, Chile, Colombia, Ecuador, Guyana, Peru, Suriname, Uruguay, Venezuela, OCEANIA, Australia, New South Wales, Queensland, South Australia, Tasmania, Victoria, Fiji, New Zealand, Papua New Guinea, Vanuatu.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.262
Threshold uncertainty score0.877

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2620.154

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.

Opus teacher head0.007
GPT teacher head0.190
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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