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Record W2971541227 · doi:10.30649/htlj.v3i1.87

THE PRINCIPLE OF INTERNATIONAL LAW FOR MOST FAVOURED NATION IN THE DEVELOPMENT OF SHALE HYDROCARBON AND COAL BED METHANE

2019· article· en· W2971541227 on OpenAlexaboutno aff
Cut Asmaul Husna

Bibliographic record

VenueHang Tuah Law Journal · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNatural gasInvestment (military)CoalNatural resource economicsFossil fuelOil shaleEconomicsCapital (architecture)BusinessInternational tradePetroleum engineeringLawWaste managementGeologyPolitical sciencePoliticsEngineeringGeography

Abstract

fetched live from OpenAlex

New energy sources in the future such as Shale Hydrocarbon and Coal Bed Methane are very potential in Indonesia. International companies of natural gas and oil such as United States and Canada have been considering themselves to do investment in this sector since 2005. A global challenge such as oil price deflation in 2017 and 2018 decreases investment value of Indonesia natural gas and oil. It expects that strategies of policy and planning of domestic/foreign investors may invest their assets in Indonesia gas and oil and find many new opportunities such as production development of non-conventional natural gas and oil (i.e., MGNK) by prioritizing the principle of equal treatment without any racial discrimination on its origin based on Article 3 subsection (1) of Act No. 25/ 2007 about Capital Investment and Ministerial Decree of Energy and Mineral Source No. 26/ 2017 about the Mechanism of Investment Return on Oild-and-Gas Upstream Business Activities to provide legal assurance in investment climate.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.234
Teacher spread0.211 · 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.

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
Published2019
Admission routes1
Has abstractyes

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