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Record W6995742463

Penyertaan Malaysia dalam perjanjian berkaitan kemapanan dan menangani bencana alam sekitar dalam pelbagai hala

2016· article· en· W6995742463 on OpenAlexaboutno aff

Bibliographic record

VenueUniversiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Environmental Law and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101DiafiltrationHyporeflexiaGestational periodArticular cartilage damageLiquationProteogenomics
DOInot available

Abstract

fetched live from OpenAlex

Malaysia's participation in the various agreements relating to sustainability and addressing environmental disaster is a very good effort. For example, the Montreal Protocol is an agreement that has managed to gain international cooperation involving almost all countries in the world in addressing the global problem of ozone depletion that threaten human habitats and the global environment.Malaysia is one country in the world that is so active on the world stage in the realization of the desire to preserve the environment by adopting Multilateral Environmental Agreements (MEAs) at the national level. In addition, Malaysia is also active in the cooperation to deal with environmental disasters at international level for the benefit and safety of the world's population.These efforts show the role that Malaysia is committed in ensuring environmental sustainability and addressing environmental disasters that often occur within its boundaries.Malaysia's commitment and dedication in various efforts should be emulated by other countries of the world for the welfare of mankind.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0350.006

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 head0.005
GPT teacher head0.178
Teacher spread0.173 · 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
Published2016
Admission routes1
Has abstractyes

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