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Record W7028609465

Fragmentación del suelo para la plantación de la caña de azúcar en cantero

2012· other· es· W7028609465 on OpenAlexaboutno aff

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2012
Typeother
Languagees
FieldEngineering
TopicCivil and Structural Engineering Research
Canadian institutionsnot available
Fundersnot available
KeywordsMoment (physics)Work (physics)Quarter (Canadian coin)Block (permutation group theory)Curie
DOInot available

Abstract

fetched live from OpenAlex

"Con el objetivo de determinar el grado de fragmentación del suelo para la plantación de la caña de azúcar en cantero se realizó un experimento sobre un suelo Gley Vértico típico, ubicado en áreas de la Estación Experimental "Jesús Menéndez". La diferencia en la fragmentación del suelo de los tratamientos se logró variando los pases de grada fina al final de la preparación. Una vez definido la distribución de los agregados de suelo se caracterizó el cantero antes y después del tape en cuanto a sus dimensiones, además se evaluó el espesor del tape y el porcentaje de brotación. Los resultados indicaron que la fragmentación del suelo con el 70% de agregados menores de 50 mm cumple con los requisitos establecidos para la siembra en cantero, logrando altura del banco antes y después de la plantación de 0,20 m, profundidad del surco de 0,11 m y espesor del tape de 0,05 m, así como, porcentaje de brotación de yemas de caña del 49%, acorde a lo reportado para las condiciones de Cuba."

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.082

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.241
Teacher spread0.232 · 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 designBench or experimental
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

Citations0
Published2012
Admission routes1
Has abstractyes

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