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Record W2951162031

Ralstonia solanacearum: Una enfermedad bacteriana de importancia cuarentenaria en el cultivo de Solanum tuberosum L.

2017· article· es· W2951162031 on OpenAlexaboutno aff
Edgar Omar Rueda Puente, Luis Guillermo Hernández-Montiel, Ramón Jaime Holguín-Peña, Francisco Higinio Ruíz-Espinoza, Jesús López Elías, Marco Antonio Huez López, José Jiménez León, Jesús Borboa‐Flores, Jesús Ortega García

Bibliographic record

VenueINVURNUS · 2017
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRalstonia solanacearumSolanum tuberosumHumanitiesBiologyGeographyArtHorticultureBacteria
DOInot available

Abstract

fetched live from OpenAlex

A nivel mundial, la papa (Solanum tuberosum) constituye uno de los cultivos mas importantes para la alimentacion humana. En anos recientes se ha detectado la bacteria Ralstonia solanacearum en algunas regiones de Estados Unidos (EUA) y Canada, la cual provoca la enfermedad denominada marchitez bacteriana en el cultivo de la papa. Esta bacteria ocasiona una pudricion en el tuberculo, tallos y hojas de este cultivo y tiene la particularidad de diseminarse por semilla. Dada la cercania con los EUA y Canada, y siendo Mexico un pais importador de semilla de esos paises, la probabilidad de una eventual introduccion de esta enfermedad es significativa, especialmente en areas con amplias extensiones de papa. La papa es una de las principales hortalizas producidas en Mexico. En el ano del 2013, la produccion nacional de papa supero las 2,000,000 de toneladas. Este manuscrito presenta una revision de la epifitiologia de Ralstonia solanacearum con el objetivo de divulgar algunos aspectos que auxiliaran a tomar decisiones sobre un manejo adecuado de esta enfermedad.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.020
GPT teacher head0.292
Teacher spread0.272 · 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
GenreEmpirical

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

Citations1
Published2017
Admission routes1
Has abstractyes

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Same venueINVURNUSSame topicPlant Pathogenic Bacteria StudiesFrench-language works237,207