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Record W7007849161

Análisis de los lineamientos técnicos y jurídicos en materia ambiental para las arenas bituminosas en Colombia

2023· other· es· W7007849161 on OpenAlexaboutno aff

Bibliographic record

VenueAaltodoc (Aalto University) · 2023
Typeother
Languagees
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsField (mathematics)Power (physics)PopulationWork (physics)Position (finance)
DOInot available

Abstract

fetched live from OpenAlex

Las arenas bituminosas son un tipo de yacimiento no convencional de hidrocarburos que podría tener un gran potencial en Colombia. Sin embargo, a partir de lo ocurrido con el fracking y debido a la incertidumbre en materia científica, legal, económica y ambiental que pueden presentar este tipo de proyectos, se evidencian muchas vulnerabilidades al momento de intentar desarrollarlos. Por lo anterior, este trabajo busca establecer cuál es marco ambiental colombiano en la actualidad en dado caso que se decidiera desarrollar un proyecto de exploración o explotación de arenas bituminosas; teniendo en cuenta quiénes serían los entes gubernamentales competentes que podrían estar al tanto de este tipo de proyectos, instrumentos que existen en la actualidad como los términos de referencia para poder realizar los respectivos estudios ambientales y si estos son suficientes. Adicional, se hará una comparación con la normatividad ambiental de la provincia de Alberta, Canadá y la normatividad colombiana, para poder establecer qué similitudes o diferencias existen y a partir de ellas poder concluir qué hace falta en la normatividad ambiental colombiana en dado caso de presentarse la posibilidad de desarrollar exploración o explotación de arenas bituminosas como yacimiento no convencional de hidrocarburos, reduciendo así la incertidumbre frente a este tipo de proyectos.

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)0.001
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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.483
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0040.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0140.085

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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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