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Caracterización morfo-agronómica y molecular de mandarina ‘Arrayana‘ en el piedemonte del Meta (Colombia)

2012· article· es· W2465561806 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCiencia y Tecnología Agropecuaria · 2012
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPlant and soil sciences
Canadian institutionsMitel (Canada)
Fundersnot available
KeywordsHumanitiesGeographyBiologyArt

Abstract

fetched live from OpenAlex

Debido a la ausencia de información varietal de la mandarina (Citrus reticulata L.) ‘Arrayana‘ en el piedemonte Llanero del departamento del Meta (Colombia), se realizó una caracterización morfo-agronómica y molecular de árboles comerciales de mandarina de 10 años de edad del Centro de Investigación La Libertad de Corpoica ubicado en Villavicencio (Meta). Para la descripción morfológica se utilizaron los descriptores sugeridos por el Instituto Internacional de Recursos Genéticos (IPGRI), mientras que en la caracterización molecular, se utilizó la técnica de marcadores moleculares del tipo AFLP. La variación molecular detectada por AFLP mostró en los diez individuos de la mandarina ‘Arrayana‘ los mismos fragmentos para cada una de las accesiones, identificando individuos genéticamente iguales formando un solo grupo, lo que estaría relacionado con la propagación clonal y con características nucelares. Igualmente, se detectó uniformidad en los caracteres morfo-agronómicos, relacionados con las principales características hortícolas, lo cual señala niveles de homogeneidad, que permiten clasificar la población como una variedad.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.252
Teacher spread0.229 · 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