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Record W7010551613

Implementasi pewarnaan graf pada peta wilayah Kabupaten Bantul

2023· dissertation· id· W7010551613 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUniversitas Sanata Dharma Repository (Universitas Sanata Dharma) · 2023
Typedissertation
Languageid
FieldAgricultural and Biological Sciences
TopicAgricultural Research and Practices
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsData collectionWork (physics)Key (lock)Process (computing)ClothingGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Anisa Wirawati.2023.Graph Coloring Implementation on the Regional Map of Bantul Regency.Graph coloring is the assignment of colors to vertices so that no directly adjacent vertices have the same color.The purpose of this research is how to implement the greedy algorithm and welch powell algorithm in graph coloring, especially in coloring the regional map of Bantul Regency.This research uses case study research, namely by collecting information in the form of landuse Bantul Regency 2019.The results of coloring the map of Bantul Regency using the greedy algorithm and the welch powell algorithm, both produce a chromatic number (G)=5 or the number of colors as the minimum color solution used to color all the sub-districts in Bantul Regency is 5 colors.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0060.001
Scholarly communication0.0010.005
Open science0.0050.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.5160.002

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 head0.031
GPT teacher head0.268
Teacher spread0.236 · 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