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Record W7036150410

AR-Sector-I3 industrial park in Lamas (Zas), expansion

2013· dissertation· es· W7036150410 on OpenAlexaboutno aff

Bibliographic record

VenueRUC (Universidade Da Coruña) · 2013
Typedissertation
Languagees
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrial parkIndustrial areaWork (physics)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

El objetivo de este proyecto es la ampliación del Polígono Industrial AR-SECTOR-I3 basándonos en el anterior proyecto, donde se urbanizaba un área de 21,6 ha. En el actual se urbaniza la superficie total del sector, proporcionando al municipio de Zas un área con los servicios suficientes para que se pueda seguir industrializando el ayuntamiento de una forma ordenada mediante un parque empresarial. El ámbito se encuentra en una zona del término municipal muy vinculada al uso industrial, situado al lado de la carretera AC-404 y en las inmediaciones de los sectores AR-Sector-I1 Polígono O Allo e AR-Sector-I2 Polígono Os Muíños, AR-Sector-I4 Polígono O Pombal e AR-Sector-T As Cadenas definidos en el PGOM y situados a lo largo de la carretera AC-552. Según la ficha de Área de Reparto del PGOM de Zas presenta como superficie aproximadamente 37,4Ha que, por su situación, posee una buena comunicación gracias a sus accesos desde la AC-404 y especialmente desde la AC-552 y su conexión la futura Vía de Alta capacidad Carballo-Berdoias. Se divide el área en 60 parcelas de uso industrial, zonas verdes, aparcamiento y zona para equipamientos cumpliendo las dotaciones mínimas exigidas por la normativa oportuna. El área empresarial estará dotada de sus correspondientes servicios tales como, viales con aceras, abastecimiento de agua, saneamiento, red eléctrica y alumbrado y telefonía.

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 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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.049
GPT teacher head0.228
Teacher spread0.179 · 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 teacher head, not a consensus.

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
Published2013
Admission routes1
Has abstractyes

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