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Record W4200429834 · doi:10.24164/pnk.v4i1.47

Geologi Situs Benteng Saksi Dan Kuripan Saka, Kabupaten Lampung Selatan

2021· article· en· W4200429834 on OpenAlexaff
Wahyul Falah, Prasetyaningsih Prasetyaningsih, Nanang Saptono, Endang Widyastuti, Rusyanti Rusyanti, Lia Nuralia, Siswanto Siswanto

Bibliographic record

VenuePANALUNGTIK · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsLithologyGeologyVolcanoBrecciaGeochemistry

Abstract

fetched live from OpenAlex

The sites of Benteng Saksi and Kuripan Saka are the center of settlement or the capital of Keratuan Darah Putih. The research was conducted in Kuripan Village, Penengahan District, South Lampung Regency. The research objective was to determine the factors causing the sites of Benteng Saksi and Kuripan Saka suitable for settlements. The method used is a field survey and interpretation of geological map data. The results of field observations and mapping showed that the areas of the sites of Benteng Saksi and Kuripan Saka were included in the morphological unit of undulating plains with an average height of 50 m above sea level consisting of tertiary-quaternary and alluvial volcanoclastic deposits. The rock lithology found was Breccia Rocks from the eruption of Rajabasa Volcano and Tufan Sandstones. Based on the analysis of basic physical aspects of the area such as the physical characteristics of the rocks, morphological conditions, availability of water sources, and disaster factors in the area of Benteng Saksi and Kuripan Saka sites, it does not indicate any problems in terms of the basic physical aspects of the area.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.017
GPT teacher head0.201
Teacher spread0.183 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

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