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Record W4320077598 · doi:10.36873/aev.v16i2.7148

Aktivitas Makan Orangutan Kalimantan (Pongo pygmaeus wurmbii) di Taman Nasional Tanjung Puting Wilayah Camp Leakey Kab. Kotawaringin Barat Sebagai Penunjang Materi Konservasi

2022· article· en· W4320077598 on OpenAlexaff
Moniktia Yosika Yantoko, Siti Sunariyati

Bibliographic record

VenueAgrienvi Jurnal Ilmu Pertanian · 2022
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPongo pygmaeusGorillaHabitatNest (protein structural motif)GeographyPopulationBiologyEcologyZoologyDemography

Abstract

fetched live from OpenAlex

Conservation activities for the Bornean orangutan (Pongo pygmaeus wurmbii) are strongly influenced by several factors in environmental and habitat conditions so that the sustainability of the orangutan population is maintained, including playing an important role in terms of feeding activities and the ability to adapt to eating orangutans in reintroduction areas through monitoring activities in the daily lives of orangutans, emphasizing knowledge of eating activities in the Leakey camp area as an orangutan release conservation institution needs to be done. Observation of the eating activity of orangutans was carried out using the Focal Animal Sampling method. All activities carried out by individuals are observed and recorded. Observations were made starting from leaving the nest at around 06.30 WIB and finished observing at 17.30 WIB. Observations include diet (length of time), type of feed, portion of feed consumed. The data obtained will be tabulated and the percentage determined by displaying the data in the form of tables and charts. The length of time for eating activities of the Gara orangutans occupies the second highest percentage for eating activities, namely 33.0%, resting activity is 55.2% as the most activity and making nests 11.8%, Casper orangutans have the highest feeding activity, which is 91.4% and the second highest play activity 4.6% and the third to make a nest 4.1%. The types of feed consumed by Gara orangutans were 8 species consisting of Gluta renghas L 9%, Mangifera odorata 18%, Pandanus helicopus 14%, Symlecos celastrifolia 4%, Osbornia octodonta 4%, Musa acuminate 23%, Coptotermes curvignathus 14%, Coptotermes sp5% and Casper orangutan 4 species consisting of Diaphania indica s 46%, Mangifera odorata 23%, Musa acuminate 27%, Pimenta officinalis 4%. The portion of feed consumed by the orangutans Gara and Casper is dominated by the fruit portion.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.278
Teacher spread0.258 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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