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Record W3131335826 · doi:10.9734/bpi/nupsr/v1/7071d

Assessment of Quality and Chemical Composition of Cajuput Oil from Moluccas and Papua

2021· book-chapter· en· W3131335826 on OpenAlexaff
Syarifah Nadhirah Wan Idrus, M. S. Radiena, Sumarsana, Husein Smith

Bibliographic record

VenueBook Publisher International (a part of SCIENCEDOMAIN International) · 2021
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and Biological Activities
Canadian institutionsCarbon Engineering (Canada)
Fundersnot available
KeywordsNational parkNational standardEssential oilGeographyForestryEnvironmental scienceBotanyChemistryBiologyFood scienceArchaeology

Abstract

fetched live from OpenAlex

Melaleuca leucadendron Linn is a type of cajuput oil producer was found in the Moluccas are mostly on the Buru Island and West Seram, while Asteromyrtus brasii is a type that is found in Wasur National Park, Merauke, Papua. The main product of cajuput plants is cajuput oil that obtained from distillation of cajuput leaves. The main markets for cajuput oil include The United States, Japan, Singapore, France and the Netherlands. This study aims to decide on the chemical content and physical properties of cajuput oil that distilled from Melaleuca leucadindron leaves from Moluccas and A. brasii which grow in meet Wasur National Park. Analysis of the chemical content of essential oils was carried out using the Gas Chromatography and Mass Spectrometer method. Physical properties analysis was carried out using the method according to SNI 06-3954-2006. The test results showed that the quality of cajuput oil from Melaleuca leucadendron the SNI 06-3954-2006 standard, while type A. brasii did not meet the quality requirements based on SNI 06-3954-2006. The results obtained from the test using the GCMS method showed that there were 26 peaks with the highest peak being 1.8 cineole. The content of 1.8 cineole from Central of Moluccas at 55.22%, Buru Island at 61.69%, West Barat at 70.22% and Wasur National Park at 34.88%.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.277
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; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBook Publisher International (a part of SCIENCEDOMAIN International)Same topicPhytochemistry and Biological ActivitiesFrench-language works237,207