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Record W7071090693

Sarawak Energy Berhad / Eurika Jeffery

2018· other· en· W7071090693 on OpenAlexaboutno aff

Bibliographic record

VenueUiTM Institutional Repositories (Universiti Teknologi MARA) · 2018
Typeother
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidiaryCorporationRenewable energyElectricityHydropowerQuarter (Canadian coin)Energy supplyDistribution (mathematics)Energy (signal processing)
DOInot available

Abstract

fetched live from OpenAlex

Sarawak Energy Berhad is both an energy development company and a vertically integratedelectricity utility. Sarawak Energy is wholly owned by the Sarawak State Government. Sarawak Energy is the head quarter of the company of all other subsidiaries company under them. Sarawak Energy is involve in the generation, transmission and the distribution of electricity through hydropower development. They are responsible for the production of clean, sustainable, renewable and affordable energy which enables economic activities that enriches the lives of Sarawakians. Sarawak Energy have been proud to play a crucial role in supporting the businesses of commercial and industrial customers and homes of domestic customers. Their core businesses are hydro, thermal, grid system operator, transmission, distribution, retail and coal resources. The headquarter is located at Menara Sarawak Energy, No 1, The Isthmus, 93050, Kuching, Sarawak, Malaysia. One of the subsidiaries company under Sarawak Energy is Syarikat SESCO Berhad which is formerly known as Sarawak Electricity Supply Corporation (SESCO) which was privatised in 2005. SESCO is responsible in generating, transmitting, distributing and selling energy either in bulk or to individual consumers in Sarawak and their specialty is transmitting clean, reliable 1 and uninterrupted electrical supply. Other than that, Sarawak Energy also owned a training centre which is called Sarawak Energy School which is located in SEB Training Centre, Sg. Biawak, Jalan Belian, 93450, Kuching, Sarawak. Other subsidiaries company under Sarawak Energy are Sejingkat Power Corporation Sdn Bhd, PPLS Power Generation Sdn Bhd, SESCO EFACEC Sdn Bhd, Sarawak Gas Distribution Sdn Bhd, Sarawak Energy Services Sdn Bhd, Sarawak Power Generation Sdn Bhd, Sarawak Hydro Power Generation Sdn Bhd, Mukah Power Generation Sdn Bhd, Sarawak Coal Resources Sdn Bhd, Dunlop Estates Holdings Sdn Bhd, Dunlop Agro-Management Sdn Bhd, Dunlop Properties Sdn Bhd, Dasar Untung Sdn Bhd and Naungan Pertiwi Sdn Bhd. The official website for Sarawak Energy is www.sarawakenergy.com.my.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.786
Threshold uncertainty score0.714

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2140.085

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 head0.012
GPT teacher head0.229
Teacher spread0.217 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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