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Record W3019283116

CAMBIO DE CULTIVOS DE AGUACATE TRADICIONALES POR ORGÁNICOS, APROVECHANDO LAS EXENCIONES TRIBUTARIAS POR LA MATRIZ PRODUCTIVA EN LA PROVINCIA DE PICHINCHA.

2015· dissertation· es· W3019283116 on OpenAlexaboutno aff
Franco Muñoz, Maurie Stephany

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Production Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

El presente articulo academico pretende demostrar los beneficios que se obtiene al cultivar de una forma mas agradable para el medio ambiente y para la salud de los consumidores. Permitiendo que los productores de cultivos organicos de aguacate HASS puedan exportar sus productos hacia diversos mercados como Canada, Argentina, Colombia, la Union Europea y Estados Unidos, paises cuyos consumidores tienen una mayor conciencia ambiental y asi mismo desean mejor su salud. El gobierno ecuatoriano fomenta y apoya este tipo de iniciativas, permitiendoles a los productores accesos a creditos, exoneraciones pagos de Impuesto de Salida, exoneracion de pago del Anticipo Minimo del Impuesto a la Renta, reduccion de 10 puntos de la tarifa del Impuesto a la Renta, entre otros

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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