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Record W2626831046 · doi:10.1079/dmpd/20066500835

<i>Colletotrichum truncatum</i> . [Distribution map].

2006· article· en· W2626831046 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDistribution Maps of Plant Diseases · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsGeographySierra leoneSocioeconomics

Abstract

fetched live from OpenAlex

Abstract A new distribution map is provided for Colletotrichum truncatum (Schwein.) Andrus &amp; W.D. Moore Fungi: Ascomycota: Glomerellaceae Hosts: Soyabean ( Glycine max ), lentil ( Lens culinaris ), cowpea ( Vigna unguiculata ), Phaseolus spp. and other Fabaceae. Information is given on the geographical distribution in EUROPE, France, Hungary, Italy, Moldova, Russian Far East, Southern Russia, Slovakia, Spain, Yugoslavia (Fed. Rep.), ASIA, Bangladesh, China, Hong Kong, Republic of Georgia, India, Andhra Pradesh, Assam, Himachal Pradesh, Jammu and Kashmir, Madhya Pradesh, Maharashtra, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh, West Bengal, Indonesia, Sumatra, Iran, Japan, Honshu, Korea Republic, Malaysia, Peninsular Malaysia, Sabah, Nepal, Pakistan, Philippines, Saudi Arabia, Taiwan, Thailand, Turkey, United Arab, Emirates, Vietnam, AFRICA, Burkina Faso, Cameroon, Egypt, Ethiopia, Gabon, Ghana, Guinea, Kenya, Malawi, Mauritius, Mozambique, Nigeria, Senegal, Sierra Leone, South Africa, Tanzania, Uganda, Zambia, Zimbabwe, NORTH AMERICA, Canada, Manitoba, Ontario, Saskatchewan, USA, Alabama, Arkansas, Florida, Georgia, Hawaii, Illinois, Indiana, Kansas, Kentucky, Louisiana, Maryland, Minnesota, Mississippi, Missouri, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Dakota, Tennessee, Texas, Washington, Wisconsin, CENTRAL AMERICA &amp; CARIBBEAN, Barbados, Belize, Cuba, Guatemala, Honduras, Puerto Rico, Trinidad and Tobago, SOUTH AMERICA, Argentina, Brazil, Amazonas, Bahia, Goias, Mato, Grosso, do Sul, Minas Gerais, Rio Grande do Sul, Santa, Catarina, Sao Paulo, Colombia, Guyana, Venezuela, OCEANIA, Australia, New South Wales, Queensland, Western Australia, Fed. States of Micronesia, Fiji, Papua New Guinea, Samoa, Tonga.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.316
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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